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SIGGRAPH 2018 レポート

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SIGGRAPH 2018@Vancouverのレポート。手抜き&編集途中ママ

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SIGGRAPH 2018 レポート

  1. 1. SIGGRAPH2018 (COMPUTERVISION, CAMERA,VR ) TOSHIKITSUBOI
  2. 2. SIGGRAPH • Special Interests Group on Computer GRAPHics • Association for Computing Machinery( :ACM) CG • 1974 • ( ) • 160 16,637
  3. 3. SIGGRAPH ART GALLERY ART PAPERS BIRDS OF A FEATHER COMPUTER ANIMATION FESTIVAL ( VR) COURSES EMERGINGTECHNOLOGIES EXHIBITION INTERNATIONAL RESOURCES JOB FAIR KEYNOTE SESSION PANELS POSTERS SIGGRAPH NEXT STUDIO TECHNICAL PAPERS 3 ※Wikipedia(En), SIGGRAPH2018 HP
  4. 4. FULL CONFERENCE ($1,150) EXHIBITS PLUS ($150) EXHIBITS ONLY ($50) ART GALLERY ● ● - ART PAPERS ● - - BIRDS OF A FEATHER ● ● - COMPUTER ANIMATION FESTIVAL ● - - COURSES ● - - EMERGINGTECHNOLOGIES ● ● - EXHIBITION ● ● ● INTERNATIONAL RESOURCES ● ● - JOB FAIR ● ● ● KEYNOTE SESSION ● - - PANELS ● - - POSTERS ● ● - SIGGRAPH NEXT ● ● - STUDIO ● ● - TECHNICAL PAPERS ● - - ※ 7 Non-menber Early Bird
  5. 5. Exhibits Plus • • • → Web • ComputerVision,VR, Camera
  6. 6. ‣ ‣ VR/MR WebVR API2.0 NYU CAVE etc. ‣ (EmergingTech.) ‣ GPU (NVIDIA RTX ) ‣ VR ‣ Google Microsoft ‣
  7. 7. EMERGINGTECHNOLOGIES
  8. 8. EMERGINGTECHNOLOGIES • • • CSL • • • • •
  9. 9. Tastes Controller ( , ) • GTS: Galvanic Tongue Stimulation • • VR/AR
  10. 10. Human Support Robot ( TRI) • ROS •
  11. 11. HEADLIGHT;Wearable Projector (Sony CSL) • • 105° 55°
  12. 12. 2400fps ( ) • (400fps ) (2400fps) •
  13. 13. Realtime Non-Line-Of-Site Imaging (Stanford ) • SPAD Time Of Flight • LiDAR
  14. 14. Transcalibur ( ) • VR
  15. 15. Make your own Retinal Projector ( Pixie DustTechnologies) • (TMD) • TMD
  16. 16. TMD Near-Eye ( Pixie DustTechnologies) • HMD TMD • OculusVR Developer Kit 3D
  17. 17. ( Pixie) • EMS • Arduino
  18. 18. Leviopole ( ) • VR • VR/AR
  19. 19. Fusion ( ) • • HMD
  20. 20. (Lightform Inc.) • •
  21. 21. Spherical FishTankVR Display (British Columbia Saskatchewan ) • •
  22. 22. Steerable Application-Adaptive Near-Eye Displays (NVIDIA, UNC) • AR HMD • Norland Products Norland Optical Adhesives • EmergingTechnologies Best in Show
  23. 23. SEER (Stimulative Emotional Expression Robot) • • TakayukiTodo
  24. 24. IMMERSIVE PAVILION
  25. 25. Microsoft Hololens 1 2 3 4
  26. 26. VR Stereoscope (1838 ) Nintendo 3D Glasses (1987 ) SegaScope 3D Glasses (1988 ) Nintendo Power Glove (1989 )
  27. 27. VR Virtual Research HMD (1991 ) Takara HMD Dynovisor (1994 ) Virtuality HMD (1994 ) VRontier World’s Tier 1 (1993 )
  28. 28. VR Tiger’s R-Zone (1995 ) Nintendo VirtualBoy (1995 ) Virtual iO Glasses (1995 ) Vuzix iWear VR920 (2007 ) Virtual Research HMD (1991 )
  29. 29. VR Oculus DK2 (2014 ) Avegant Glyph (2016 ) Google Cardboard (2014 )
  30. 30. CAVE FUTURE REALITY LAB (NYU) • Mirage Solo VR • •
  31. 31. (Google) • 16 GoPro Hero4 1 1000 • “Welcome to Light Fields” VR Google
  32. 32. NVIDIA Holodeck • NVIDIA VR • • NASA
  33. 33. EXHIBITION
  34. 34. QualisysVR Solution (QUALISYS ) • • SDK REST API Unity Unreal • 180fps 300fps 10,000fps
  35. 35. MixedReality Capture Studio (Microsoft) • MR Microsoft • 106 • IR
  36. 36. Virtual Light Booth (X-Rite) • • • • 4 3
  37. 37. TECHNICAL PAPERS
  38. 38. • • (03) Computational Photography • (06)Virtually Human • (08) Computational Photos andVideos • (09) Interaction/VR • (10) Image & Shape Analysis With CNNs • (20) 3D Capture • (23) Computational Cameras
  39. 39. • • (03) Computational Photography • (06)Virtually Human • (08) Computational Photos andVideos • (09) Interaction/VR • (10) Image & Shape Analysis With CNNs • (20) 3D Capture • (23) Computational Cameras
  40. 40. Exposure:A White-Box Photo Post-Processing Framework (Microsoft, MIT) • Deep Learning • Deep Learning • GAN+
  41. 41. Deep Examplar-Based Colorization ( , , Microsoft) • Deep Learning • Reference Reference • Reference
  42. 42. • • (03) Computational Photography • (06)Virtually Human • (08) Computational Photos andVideos • (09) Interaction/VR • (10) Image & Shape Analysis With CNNs • (20) 3D Capture • (23) Computational Cameras
  43. 43. Deep Learning of Biomimetic Sensorimotor Control for Biomechanical Human Animation (UCLA) • Deep Learning • 20 DNN • 2 8 216 2 29 39 2 DNN
  44. 44. • • (03) Computational Photography • (06)Virtually Human • (08) Computational Photos andVideos • (09) Interaction/VR • (10) Image & Shape Analysis With CNNs • (20) 3D Capture • (23) Computational Cameras
  45. 45. Synthetic Depth-of-Field with a Single-Camera Mobile Phone (Google) • Google • depth map • Flickr 122k • 5.4MP 4
  46. 46. Stereo Magnification: LearningView Synthesis Using Multiplane Images (UCBerkeley, Google) • • Youtube
  47. 47. Gigapixel PanoramaVideo Loops ( , Microsoft) • • 58,699x20,497
  48. 48. An OmnistereoscopicVideo Pipeline for Capture and Display of Real-WorldVR (Disney, KAIST) • 16 VR 360° • Monoscopic Stereoscopic • AR
  49. 49. • • (03) Computational Photography • (06)Virtually Human • (08) Computational Photos andVideos • (09) Interaction/VR • (10) Image & Shape Analysis With CNNs • (20) 3D Capture • (23) Computational Cameras
  50. 50. In the Blink of an Eye Leveraging Blink-Induced Suppression for Imperceptible Position and Orientation Redirection inVirtual Reality (Hamburg , Muenster , Central Florida ) • VR (e.g. Redirected walking) • VR
  51. 51. TowardsVirtual Reality Infinite Walking Dynamic Saccadic Redirection (Stony Brook , NVIDIA, ,Adobe) • VR • • GPU
  52. 52. FaceVR Real-Time Facial Reenactment and Eye Gaze Control inVirtual Reality (Erlangen-Nuremberg , MPI Informatics, Stanford ) • RGB-D IR VR
  53. 53. Deep Appearance Models for Face Rendering (CMU) • Deep Learning • Mesh
  54. 54. • • (03) Computational Photography • (06)Virtually Human • (08) Computational Photos andVideos • (09) Interaction/VR • (10) Image & Shape Analysis With CNNs • (20) 3D Capture • (23) Computational Cameras
  55. 55. Neural Best-Buddies Sparse Cross-Domain Correspondence (Tel Aviv , Microsoft, Hebrew , ) • • CNN feature map
  56. 56. • • (03) Computational Photography • (06)Virtually Human • (08) Computational Photos andVideos • (09) Interaction/VR • (10) Image & Shape Analysis With CNNs • (20) 3D Capture • (23) Computational Cameras
  57. 57. Space-timeTomography for Continuously Deforming Objects (KAUST) • CT
  58. 58. Instant 3D Photography (Facebook) • 3D
  59. 59. Reconstructing Scenes with Mirror and Glass Surfaces (Facebook) •
  60. 60. Full 3D Reconstruction ofTransparent Objects ( , Newfoundland Memorial ) •
  61. 61. • • (03) Computational Photography • (06)Virtually Human • (08) Computational Photos andVideos • (09) Interaction/VR • (10) Image & Shape Analysis With CNNs • (20) 3D Capture • (23) Computational Cameras
  62. 62. Single-Photon 3D Imaging with Deep Sensor Fusion (Stanford )
  63. 63. End-to-end Optimization of Optics and Image Processing for Achromatic Extended Depth of Field and Super-resolution Imaging (Stanford , KAUST)
  64. 64. Megapixel Adaptive OpticsTowards Correcting Large-scale Distortions in Computational Cameras (KAUST)

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