Building the Metaverse - One Standard at a Time Web3D Conference - Khronos Group

Page created by Kirk Fields
 
CONTINUE READING
Building the Metaverse - One Standard at a Time Web3D Conference - Khronos Group
Building the Metaverse
      One Standard at a Time
      Neil Trevett | Khronos President
  NVIDIA Vice President Developer Ecosystem
             ntrevett@nvidia.com | @neilt3d

                 Web3D Conference
       Poznań, Poland, June 22nd 2018

                       © Copyright Khronos™ Group 2018 - Page 1
Building the Metaverse - One Standard at a Time Web3D Conference - Khronos Group
Khronos Mission

                                                                              Software

                                                                                Silicon

  Khronos is an International Industry Consortium creating royalty-free, open standards
                  to enable software to access hardware acceleration for
             3D Graphics, Virtual and Augmented Reality, Parallel Computing,
                          Neural Networks and Vision Processing
                                                                         © Copyright Khronos™ Group 2018 - Page 2
Building the Metaverse - One Standard at a Time Web3D Conference - Khronos Group
Looking Back at 2011’s Web3D Keynote

                                                             The Goal
                                                    The Browser IS the m etaverse
                                What is the   Real-world AR through Web pages not apps
                                final push    Web standards interoperability overcom es
                                 needed?               platform fragm entation

                                              What we didn’t foresee in 2011
                                                    1. The rise of Machine Learning
                                                          2. Re-em ergence of
                                                        platform fragm entation
                                                 3. Layered ecosystem s and com piler
                                                 technology to com bat fragm entation

Trevett Web3D Conference Keynote, Paris June 2011
                                                               © Copyright Khronos™ Group 2018 - Page 3
Building the Metaverse - One Standard at a Time Web3D Conference - Khronos Group
Vital Elements for XR in the Browser

         Efficient 3D                        Cross-platform Sensor
        Asset Delivery                       and UI Handling

      Fast, low-latency                      Compute, Vision and
            3D Graphics                      Inferencing acceleration

       All mobile and desktop have GPUs as offload processors
                                                         © Copyright Khronos™ Group 2018 - Page 4
Building the Metaverse - One Standard at a Time Web3D Conference - Khronos Group
Ecosystem = API + File Format

                          Run-time APIs   File Formats

 3D Graphics

 Heterogenous Compute
 (Parallel Processing)

 VR and AR
 Vision and Inferencing

                                          © Copyright Khronos™ Group 2018 - Page 5
Building the Metaverse - One Standard at a Time Web3D Conference - Khronos Group
glTF – Cross-Platform 3D Asset Transmission
                                                                                 All glTF spec developm ent
                                                                                       on open GitHub:
                                                                             https://github.com/KhronosGroup/glTF

O p e n G L T ra n sm issio n F o rm a t   glTF 1.0 – Primarily for WebGL   glTF 2.0 - Physically Based Rendering
   Efficient transmission of 3D                   Uses GLSL for materials   Metallic-Roughness and Specular-Glossiness Materials
         scenes and assets                       Released December 2015                 Rendering API independence
                                                                                          Released @ Web3D 2017

                                                                                              © Copyright Khronos™ Group 2018 - Page 6
Building the Metaverse - One Standard at a Time Web3D Conference - Khronos Group
glTF Momentum                                                                   3D Content

Creation Tools                                                   1 5 0 K glT F M o d e ls in C re ativ e C o m m o n s!

                                                                                                                                       Apps and Engines
                                                                                     Discover

               S o n y 3 D C re a to r
                                                        Create                                                            Experience
              Oculus

       Modo                                 Paint 3D

                                          gltf-vscode                     Drive Demand
                                                                                                                          Users
  Collada2gltf                           FBX2glTF                                                                                       Windows Mixed
                                                                                                                                        Reality Home
glTF-validator               glTF-asset-generator

                                                                                                                                       © Copyright Khronos™ Group 2018 - Page 7
Building the Metaverse - One Standard at a Time Web3D Conference - Khronos Group
Consistent glTF Rendering on Multiple Engines

                               glT F c o n sid e rin g
                      o p tio n a l, sta n d a rd iz e d
                   e n v iro n m e n t a n d ligh tin g
                    gu id e lin e s fo r c o n siste n t
                           d e fa u lt a p p e a ra n c e
                               b e tw e e n v ie w e rs

                                                    https://github.com/KhronosGroup/glTF-Sample-Models/pull/154

                                                                            © Copyright Khronos™ Group 2018 - Page 8
Building the Metaverse - One Standard at a Time Web3D Conference - Khronos Group
glTF Recent Highlights
• Microsoft makes glTF files as usable as JPGs in Windows 10
   - Office , Remix 3D, Paint 3D, Simplygon, Mixed Reality Portal and Viewer
• Facebook supports drag and drop for glTF models to your feed
   - Driving exporter/tool demand: FBX2glTF, Modo, …
• Sketchfab repository has over 150K glTF models
   - Under free, Creative Commons license
• Adobe Dimension is adopting glTF for delivery of 3D marketing assets
   - glTF publishing service for interactive marketing materials
• Mozilla integrating glTF into A-FRAME                                                 Mesh
   - Anchors for glTF objects in AR scenes                                        Compression
• Google Draco Mesh Compression                                                        Ratios

   - Extension is shipping and being
     used by tools and engines

                                                                      © Copyright Khronos™ Group 2018 - Page 9
Building the Metaverse - One Standard at a Time Web3D Conference - Khronos Group
glTF Extension and Roadmap Discussions
• glTF is extensible
   - Use extensions for specialist functions or testing new functionality
• Some functionality under discussion
   - Advanced lighting and shadows                  glTF Ecosystem m eeting at SIGGRAPH 2018
   - Environmental and HDR lighting                  Let Neil know if you would like an invite!

   - Compressed Texture Transmission
     with efficient expansion into GPU formats
   - Advanced PBR – NVIDIA MDL?
   - Subdivision surfaces - Pixar OpenSubdiv?
   - Point clouds with Draco compression
   - Draco compression of animation data
   - Geometry streaming etc. etc.

 Any delivery format must balance functionality
  versus speed of processing and simplicity of
   implementing reliable importers/exporters
                                                                      https://gltf.sketchfab.com/models/damagedHelmet.zip

                                                                           © Copyright Khronos™ Group 2018 - Page 10
USDZ
  At WWDC 2018 Apple announced their own 3D delivery format – USDZ
    Pixar USD is a m ovie authoring interchange form at – open sourced in 2016
           USDZ packages USD files in a non-com pressed ZIP container
  Early days – not clear if Apple will subset USDZ for their platform - no spec yet

                                                           USDZ
         Com pact Delivery Form at              Authoring Interchange Form at
        Multi-com pany Governance            Delivery subset controlled by Apple?
   Open standard for use on any platform             Apple platform only?

  Widespread open source tools ecosystem                       ?

                        Competition is healthy
            Awaiting more details to be announced by Apple
         Conversion between glTF and USDZ is certainly possible
                                                                       © Copyright Khronos™ Group 2018 - Page 11
Vital Elements for XR in the Browser

         Efficient 3D                        Cross-platform Sensor
        Asset Delivery                       and UI Handling

      Fast, low-latency                      Compute, Vision and
            3D Graphics                      Inferencing acceleration

       All mobile and desktop have GPUs as offload processors
                                                        © Copyright Khronos™ Group 2018 - Page 12
WebGL Evolution
                                    D e sk to p G ra p h ic s
                                    Te xtu re s: N PO T, 3 D , D e p th , A rrays, In t/flo at                   E x p lic it G ra p h ic s
                                    O b je cts: Q u e ry, Syn c, Sam p le rs                                     G e n e ral Pu rp o se C o m p u te
M o b ile G ra p h ic s             Se am le ss C u b e m ap s, In te ge r ve rte x attrib u te s                M u lti-th re ad e d R e n d e rin g
Pro gram m ab le                    M u ltip le R e n d e r Targe ts, In stan ce d re n d e rin g                Lo w -late n cy re n d e rin g
V e rte x an d Fragm e n t          Tran sfo rm fe e d b ack, U n ifo rm b lo cks
sh ad e rs                          V e rte x array o b je cts, G LSL ES 3 .0 sh ad e rs

                                                                                Apple does not ship
                                                                                  OpenGL ES 3.1 -
                                                                                 ending the era of
                                                                              universal native 3D APIs

    2007                                    2012                                           2014                                  2016
 OpenGL ES 2.0                           OpenGL ES 3.0                                  OpenGL ES 3.1
                                                                                         Compute Shaders
                          4 years
                                        2011                                                               5 years
                                      WebGL 1.0                                                                                               March 2017
                                                                                                                                              WebGL 2.0
Pervasive OpenGL ES 2.0                                                                                         Conformance Testing is vital for
OpenGL and OpenGL ES ships on
 every desktop and mobile OS                                 Significant ongoing work on multiple                  Cross-Platform Reliability
  3D on the Web is enabled!                                                                                  WebGL 2.0 conformance tests are very thorough
                                                    performance enhancements and getting all                     10x more tests than WebGL 1.0 tests
                                                   browsers to pass all the complete test suite

                                                                                                                                  © Copyright Khronos™ Group 2018 - Page 13
WebGL Momentum – WebGL 2.0 is Here!
                                                         93.26% Globally

                                                    http://caniuse.com/#feat=webgl

            62.85% Globally

                               WebGL 2.0 brings Desktop-class
                                    graphics to the Web
                              The time to create a new class of
                                Web-based 3D Apps is now!
                                              © Copyright Khronos™ Group 2018 - Page 14
Pervasive Vulkan
      Major GPU Companies supporting Vulkan for Desktop and Mobile Platforms

                                                                                                                          http://vulkan.gpuinfo.org/

                                                       Platforms

                                                                                                                         Consoles
    Desktop                     Mobile                                      Media Players
                            ( A n d r o id 7 . 0 + )

          Virtual Reality
                                                           Cloud Services                                            Embedded

                                                       Game Engines

                                                                                                 C ro te a m
                                                                                            S e rio u s E n g in e

                                                                                                            © Copyright Khronos™ Group 2018 - Page 15
Vulkan and New Generation GPU APIs
  Non-proprietary, royalty-free open standard ‘By the industry for the industry’
            Portable across multiple platforms - desktop and mobile
          Modern architecture | Low overhead| Multi-thread friendly
               EXPLICIT GPU access for EFFICIENT, LOW-LATENCY,
                            PREDICTABLE performance

                                                                                  Vulkan Porting Tools

                                     Vulkan is available on Android 7.0+

                                                                    © Copyright Khronos™ Group 2018 - Page 16
Bringing Vulkan Apps to Apple Platforms

                 Dota 2 running on Mac up to                                Applications
               50% faster than native OpenGL
                                                                                                              Open source SDK to build,
Efficiently map a subset of Vulkan over Metal                                                                 run, and debug applications
   Very little functionality not supported today:                                                             on macOS including
                                                                                                              validation layer support
     T ria n gle fa n s, S e p a ra te ste n c il re fe re n c e m a sk s
             V u lk a n E v e n ts, A llo c a tio n c a llb a c k s
                                                                                                Vulkan
                S o m e te x tu re -sp e c ific sw iz z le s                                   macOS SDK

          SPIRV-Cross                                                       macOS / iOS              Beta release – but working to pass
   Convert SPIR-V shaders to                                                 Run-time                all applicable conformance tests
    platform source formats                                             Maps Vulkan to Metal         Previously a paid product
                                                             MoltenVK for macOS and iOS              Now released into OPEN SOURCE
                                                         For macOS 10.11, iOS 9.0 and up             Completely free to use - no fees
                                                                                                     or royalties – including
                                                                                                     commercial applications

                                                                                                             © Copyright Khronos™ Group 2018 - Page 17
Valve - Vulkan Dota 2 on macOS

                  Vulkan delivering up to
                 50% perform ance increase
                    over native OpenGL

                                             © Copyright Khronos™ Group 2018 - Page 18
SPIR-V Ecosystem
                                                                                                 Khronos defined cross-API IR
                                                                                                  •
                                                          GLSL       HLSL
                                                                                          • Native graphics and parallel com pute

                       T h ird p a rty k e rn e l a n d                                     • Stable specification to com plem ent
                           sh a d e r la n gu a ge s       glslang        DXC                     LLVM Open Source Project
   MSL

  HLSL
             SPIRV-Cross                                         OpenCL C                  OpenCL C++                       SYCL
                                                                      Front-end                Front-end                  Front-end
  GLSL

   SPIR-V (Dis)Assembler

         SPIR-V Validator                                                                  LLVM
                                                                     LLVM to SPIR-V
                                                                      Bi-directional        K h ro n o s c o o p e ra tin g w ith
                                                                       Translators
 SPIRV-opt | SPIRV-remap                                                                     C la n g/L L V M C o m m u n ity

         Optimization                                                                                       K h ro n o s-h o ste d
             Tools                                                                                      O p e n S o u rc e P ro je c ts
                                                                                       https://github.com/KhronosGroup/SPIRV-Tools

              IH V D riv e r
               R u n tim e s

                                                                                                                         © Copyright Khronos™ Group 2018 - Page 19
Bringing OpenCL Compute to Vulkan
• Experimental Clspv Compiler from Google, Adobe and Codeplay
   - Compiles OpenCL C to Vulkan’s SPIR-V execution environment
     Successfully tested on over 200K lines of Adobe OpenCL C production code
   - Open source - tracks top-of-tree LLVM and clang, not a fork

     Layering and cross-
compilation is making Vulkan                           OpenCL C                              OpenCL
a Universally Portable API for                         Source                                Host Code
   Graphics AND Compute

                                          Prototype open                  Clspv          Run-time             Possible
                                           source project                Compiler      API Translator         future
                          h ttp s://gith u b .c o m /go o gle /c lsp v
                                                                                                              project –
                                                                                                              if interest
                                                                             Runtime
                 Increasing deployment options for
                     OpenCL kernel developers
             e.g. Vulkan is a supported API on Android

                                                                                       © Copyright Khronos™ Group 2018 - Page 20
WebGL Future                               Don’t panic!
                                    Deprecation means the APIs will
                                    be removed in the future - still                      GPUWeb
                                         available right now                           Community Group

                                     WebGL 2.0 could be layered
                                            over Metal                 Makes sense that work on nexgen
                                                                        Web stack takes place at W3C

                                                                           But currently considering
                                                                       designing a fourth native GPU API
                                                                        – without significant input from
                                                                       the GPU hardware community L

                                                                          Could cause further industry
                                                                       fragmentation and be a barrier to
                                                                                 adoption L L
 No universally available 3D API
    since Apple did not ship
                                                                        Watching with interest to see if
         OpenGL ES 3.1                                                   GPUWeb becomes a formal
                                                                               working group
 That situation just got worse at
Apple WWDC June 2018 – OpenGL                                           May use SPIR-V for shader code
  and OpenGL ES deprecated in
                                      Dean is Apple’s WebGL lead
    favor of Apple’s Metal API
                                                                             © Copyright Khronos™ Group 2018 - Page 21
Vital Elements for XR in the Browser

         Efficient 3D                        Cross-platform Sensor
        Asset Delivery                       and UI Handling

      Fast, low-latency                      Compute, Vision and
            3D Graphics                      Inferencing acceleration

       All mobile and desktop have GPUs as offload processors
                                                        © Copyright Khronos™ Group 2018 - Page 22
Neural Network Workflow
                                                                                                                                             Applications
                                                                                                                                           Using Embedded
                                                                                                                                        Vision and Inferencing

                                                                                                                              WinML
                                                                         Framework
                                                                             Specific
                                                                             Formats
                                           NeuralNet
                                          Neural  NetTraining
                                                      Training
                                         Neural
                                        Neural  Net Training
                                               Frameworks
                                               Net Training                  Trained                                                  Vision and Neural Net
                                             Frameworks
                                            Frameworks
                                                                                                            Compilation and
A u t h o r in g in t e r c h a n g e      Frameworks                       Networks                         Optimization
                                                                                                                                      Inferencing Runtimes

                                                                       E m b e d d e d D e p lo y m e n t

                                                                                                                                                           CPU
                                           Desktop and                                                                                    GPU
                                                                                                                                                            CPU
                                                                                                                                                             CPU     GPU
                                         Cloud Hardware                                                                                                     FPGA     DSP
                                                                                                                                   Diverse Inferencing
                                                                                                                                                               Custom
            cuDNN                         MIOpen          clDNN                TPU                                              Acceleration Hardware         Hardware

                                                                  Training = Desktop / Cloud                          Deployment on Embedded Devices
                                                                                                                                      © Copyright Khronos™ Group 2018 - Page 23
NNVM - Open Compiler for AI Inferencing
P a u l G . A lle n S c h o o l o f C o m p u t e r S c ie n c e & E n g in e e r in g , U n iv e r s it y o f W a s h in g t o n
h ttp :/ / w w w .tv m la n g.org/ 2 0 1 7 / 0 8 / 1 7 / tv m -re le a se -a n n ou n c e m e n t.h tm l

                                                                                                                                                                                                                                  1 .Im p o rt T ra in e d
                                                                                                                                                                                                                                  N e tw o rk D e sc rip tio n

                                                                                                                                                                                                                                  2 . G ra p h -le v e l
                                                                                                                                                                                                                                  O p tim iz a tio n s

                                                                                                                                                                                                                                  3 . D e c o m p o se in to
                                                                                                                                                                                                                                  p rim itiv e in stru c tio n s

                                                                                                                                                                                               h ttp s:/ / gith u b .c om / d m lc / n n v m / b lob / m a ste r/ tu toria ls/ from _ m xn e t_ to_ w e b gl.p y

                                                                                                                                                                                                                                  4 . E m it p ro gra m s
                                                                                                                                                                                                                                  e x e c u ta b le b y ru n -tim e s

   S P IR -V IR fo r p a ra lle l a c c e le ra to rs                                                                               L L V M IR fo r C P U s
          B a c k e n d in d e v e lo p m e n t
                                                                                                                                                                           TensorFlow over WebGL demo:
                                                                                                                                                      TensorFlow.js powered implementation of the tSNE algorithm for high-dimensional data analysis
                                                                                                                                                                 https://nicola17.github.io/tfjs-tsne-demo/
                                                                                                                                                                                                       © Copyright Khronos™ Group 2018 - Page 24
Platform Neural Network Stacks
                                                                                                                                                                                                                                        Consistent Fundam ental Steps
                                                                                                                                                                                                                                              1 . Im p o rt tra in e d N N m o d e l file
                                                                                                                                                                                                                                            2 . B u ild o p tim iz e d v e rsio n o f gra p h
                                                                                                                                                                                                                                        3 . A c c e le ra te o n G P U o r o th e r p ro c e sso r
                                                                                                                                                                                                                                                u sin g a v a ila b le lo w -le v e l A P I

                                                                                                                                                                                                                                                Core ML Model

                Microsoft Windows                                                                                                          Google Android                                                                                            Apple MacOS and iOS
Windows Machine Learning (WinML)                                                                                             Neural Network API (NNAPI)                                                                                                                                  CoreML
 h t t p s : / / d o c s . m ic r o s o f t . c o m / e n - u s / w in d o w s / u w p / m a c h in e - le a r n in g /   h t t p s : / / d e v e lo p e r . a n d r o id . c o m / n d k / g u id e s / n e u r a ln e t w o r k s /                h t t p s : / / d e v e lo p e r . a p p le . c o m / d o c u m e n t a t io n / c o r e m l

                                                                                                                                                                                                                                                    © Copyright Khronos™ Group 2018 - Page 25
NNEF Ecosystem
                                                                                                    NNEF = Neural Network
    Live
                                T e n so rF lo w                                                      Exchange Format
                                 a n d C a ffe
                                                                                                  V1.0 Provisional Released for
    Imminent                     E x p o rte rs
                                                                                                    industry feedback before
                                                                                                           finalization
T e n so rF lo w
                                                                   S y n ta x
a n d C a ffe 2
                                                                   P a rse r/
Im p o rte r /
 E x p o rte rs                    Files                       V a lid a to r
                                                                                                       Comparing Neural Network
                                                                                                      Exchange Industry Initiatives
                   G o o gle                         OpenVX
                 NNAPI                             In ge stio n &
              C o n v e rto r                       E x e c u tio n

                                                                                         D e fin e d Sp e c ific a tio n                 O p e n So u rc e P ro je c t
            N N E F o p e n so u rc e p ro je c ts h o ste d o n
                K h ro n o s N N E F G itH u b re p o sito ry
                                                                                Sta b ility fo r h a rd w a re d e p lo ym e n t      So ftw a re sta c k fle xib ility
                          A p a c h e 2 .0 lic e n se
             https://github.com/KhronosGroup/NNEF-Tools
                                                                                     M u lti-c o m p a n y G o ve rn a n c e            In itia te d b y F a c e b o o k

                                                                                           F le xib le P re c isio n                  3 2 -b it F lo a tin g P o in t o n ly

                                                                                       F la t a n d C o m p o u n d O p s                      F la t O p s O n ly

                                                                                                                                   © Copyright Khronos™ Group 2018 - Page 26
Vital Elements for XR in the Browser

         Efficient 3D                        Cross-platform Sensor
        Asset Delivery                       and UI Handling

      Fast, low-latency                      Compute, Vision and
            3D Graphics                      Inferencing acceleration

       All mobile and desktop have GPUs as offload processors
                                                        © Copyright Khronos™ Group 2018 - Page 27
OpenXR – Solving VR Fragmentation
     VR         VR             VR           VR              VR         VR             VR           VR
     App        App            App          App             App        App            App          App
      1          2              3            4               1          2              3            4

                                          Proprietary
                                            Engine                                               Proprietary
                                                                                                   Engine

                                                                             Application Interface

                                                                                            Device Layer

   VR        VR         VR         VR            VR       VR        VR         VR         VR            VR
 Device    Device     Device     Device        Device   Device    Device     Device     Device        Device
    1         2          3          4             5        1         2          3          4             5

           Before OpenXR                                               After OpenXR
                VR Market                                          Wide interoperabilityof
              Fragmentation                                         VR apps and devices
                                                                               © Copyright Khronos™ Group 2018 - Page 28
Companies Publicly Supporting OpenXR

                  OpenXR is a collaborative design
          1) For cross-platform XR portability – VR in V1.0, then add AR
   2) Integrating many lessons from proprietary ‘first-generation’ API designs

                                                                 © Copyright Khronos™ Group 2018 - Page 29
Input and Haptics
                                                                              Controll
                                                                                      erCorp
• Input uses abstracted Input Actions
   - E.g. “Move,” “Jump,” “Teleport”          /user/hand/left/input/trigger/click
                                              (/devices/ControllerCorp/fancy_controller/
• Many advantages                                        input/trigger/click)

   - Existing content can easily use
     new devices                                          OpenXR Runtime
   - Mix-and-match multiple input          .../input/button_a/click               Explode
                                           .../input/trigger/click                Teleport
     sources to create a unified UI         .../input/grip/value                SpawnKittens

   - Easy optional feature support (e.g.

                                                                      …
     eye and body tracking)
   - Future-proofing for innovation in
     input devices and form factors                   XrAction: “Teleport”

                                                              © Copyright Khronos™ Group 2018 - Page 30
OpenXR Viewport Configurations
• Applications can:
   - Query for runtime supported Viewport Configurations
   - Applications can then set the Viewport Configurations that they plan to use
   - Select and change their active configuration over the lifetime of the session

     Camera Passthrough AR                      Stereoscopic VR / AR                              Projection CAVE

                                                                                                                         Photo Credit: Dave Pape
               O n e V ie w p o rt              T w o V ie w p o rts (o n e p e r e ye )     T w e lve V ie w p o rts (six p e r e ye )

 /viewport_configuration/ar_mono/magic_window   /viewport_configuration/vr/hmd             /viewport_configuration/vr_cube/cave_vr

                                                                                              © Copyright Khronos™ Group 2018 - Page 31
OpenXR Development Progress
              Call for Participation / Exploratory Group Formation
                          Fall F2F, October 2016: Korea

                Statement of Work / Working Group Formation
                     Winter F2F, January 2017: Vancouver

                                  Specification Work
                          Spring F2F, April 2017: Amsterdam

                                                                      M u c h m o re d e ta ile d sp e c ific a tio n o v e rv ie w
                                 Specification Work
                         Interim F2F, July 2017: Washington                      a n d G D C se ssio n v id e o s:
                                                                     https://www.khronos.org/developers/library/2018-gdc
                                Defining the MVP
                       Fall F2F, September 2017: Chicago

                         Resolving Implementation Blockers
                      Winterim F2F, November 2017: Washington

                           Raising Implementation Issues
                          Winter F2F, January 2018: Taipei

                            First Public Information!
                                                                          Implementations Underway!
Present Day                     GDC, March 2018
                                                                        Spec Finalization – incorporating
Coming Soon                   Provisional Release
                                                                          implementation experience
                      Conformance Testing and Implementation

                           Ratification and Release

                                                                                      © Copyright Khronos™ Group 2018 - Page 32
Mobile Augmented Reality Libraries
       Encapsulated Vision-based
              Functionality
      Also leveraging motion sensors
                                                  ARKit
                Pose Tracking                   Yes             Yes                3rd party AR Libraries
                                                                                        typically use
        Plane Detection and Tracking            Yes             Yes
                                                                                      ARKit/ARCore if
       Image Recognition and Tracking           Yes             Yes                      available or
                                                                                      implement own
    Ambient light level and temperature         Yes             Yes                    tracking if not
  Link to Neural Net-based Object Detection     Yes             Yes
            Access to Point Cloud               Yes             Yes
              Camera Intrinsics                 Yes             Yes
                                                                                     V1.0 is VR focused.
Multi-user and persistent cloud-based anchors   Yes             Yes                     Subsequent
          Face tracking (iPhone X)              Yes             No                      versions will
                                                                                      extend to cross-
      Light probe (using a tracked face)        Yes             No                      platform AR

               OS Availability                  iOS       Android and iOS
                                                                       © Copyright Khronos™ Group 2018 - Page 33
Layered XR Ecosystems with GPU Acceleration
                Native XR Apps                                                Web XR Apps

                                                                                                     Vision and
                                                      WebXR                                         Inferencing
  Vision and          3D Engines                                                                   libraries and
 Inferencing                                                                                         run-times
libraries and                        System-
  run-times                        exposed AR
                                                       Close ongoing             3D Engines
                                   Capabilities   collaboration between
                                                   WebXR and OpenXR

                                                      Khronos providing the
                                                      foundation for 3D and
                                                          XR in the Web

                                                                               © Copyright Khronos™ Group 2018 - Page 34
Looking Back at 2011’s Web3D Keynote

                               WebXR
                                            With WebXR and OpenXR, portable,
                                             accelerated XR in the Web is NOT
                                              going to take another 7 years J
                                                It will be here much sooner!

Trevett Web3D Conference Keynote, Paris June 2011
                                                           © Copyright Khronos™ Group 2018 - Page 35
Please Get Involved!
• These slides and information on all Khronos standards at:
   - www.khronos.org
• Khronos is driving to new levels of community engagement
   - Specifications and resources increasingly open for industry input and feedback
• Any company or organization is welcome to join Khronos
   - For a voice and a vote in any of these standards
• If joining is not possible – ask about a Khronos Advisory Panel
    - Free of charge – enables design reviews, requirements and contributions
• Khronos is always open to liaison projects with the 3D Web community
   - The industry benefits from everyone working more closely together
• Neil Trevett
   - ntrevett@nvidia.com
   - @neilt3d

                                                               © Copyright Khronos™ Group 2018 - Page 36
You can also read