computational focus tunable near eye displays
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Computational Focus-Tunable Near-eye Displays Nitish Padmanaban Stanford University NVIDIA GPU Technology Conference 2017 www.computationalimaging.org Magnified Display d d f 1 d + 1 d ' = 1 f Real World:


  1. Computational Focus-Tunable Near-eye Displays � Nitish Padmanaban � Stanford University � NVIDIA GPU Technology Conference 2017 � www.computationalimaging.org �

  2. Magnified Display � d � d’ � f � 1 d + 1 d ' = 1 f

  3. Real World: � Vergence & � Accommodation � Match! Match! �

  4. � Current VR Displays: � Vergence & � Accommodation � Mismatch Mismatch � for people � with normal vision �

  5. Nearsightedness & Farsightedness � Focal range (range of clear vision) � Normal vision � Nearsighted/myopic � Farsighted/Hyperopic � Presbyopic � Optical Infinity � 4D / 25cm � Modified from Pamplona et al, Proc. of SIGGRAPH 2010 �

  6. Presbyopia � Nearest focus distance (D) � 16D/6cm � 12D/8cm � 8/12.5cm � 4/25cm � 0/ ∞� 8 � 16 � 24 � 32 � 40 � 48 � 56 � 64 � 72 � Age (years) � Duane, 1912 �

  7. • Q1: Can computational displays effectively replace glasses in VR/AR? � • Q2: How to address the vergence–accommodation conflict for users of different ages? � • Q3: What are some near-eye display technologies that address this? �

  8. • Q1: Can computational displays effectively replace glasses in VR/AR? � • Q2: How to address the vergence–accommodation conflict for users of different ages? � • Q3: What are some near-eye display technologies that address this? �

  9. Fixed Focus � Lens � f � d’ � d � 1 d + 1 d ' = 1 Display � Magnified Display � f

  10. Adaptive Focus � actuator à vary d’ � Lens � 1 d + 1 d ' = 1 Display � Magnified Display � f

  11. Adaptive Focus � focus-tunable � lens à vary f � Lens � 1 d + 1 d ' = 1 Display � Magnified Display � f

  12. Padmanaban et al., PNAS 2017 �

  13. Padmanaban et al., PNAS 2017 �

  14. Task � 3D � 2D � 1D � 4D � (0.33m) � (0.50m) � (1m) � (0.25m) � Four simulated distances Four simulated distances � How sharp is the target? (blurry, medium, sharp) � Is the target fused? (yes, no) �

  15. Results: Sharpness and Fusibility � 1D � 2D � 3D � 4D � 1D � 2D � 3D � 4D � far 1m � 0.5m � 0.3m � 0.25m � 1m � 0.5m � 0.3m � 0.25m � far near far near Distance � Distance �

  16. Results: Sharpness and Fusibility � 1D � 2D � 3D � 4D � 1D � 2D � 3D � 4D � far 1m � 0.5m � 0.3m � 0.25m � 1m � 0.5m � 0.3m � 0.25m � far near far near Distance � Distance �

  17. Results: Sharpness and Fusibility � 1D � 2D � 3D � 4D � 1D � 2D � 3D � 4D � far 1m � 0.5m � 0.3m � 0.25m � 1m � 0.5m � 0.3m � 0.25m � far near far near Distance � Distance �

  18. Results: Sharpness and Fusibility � (n = 64) 1D � 2D � 3D � 4D � 1D � 2D � 3D � 4D � far far 1m � 0.5m � 0.3m � 0.25m � 1m � 0.5m � 0.3m � 0.25m � far near far near Distance � Distance �

  19. Summary � • Fast, user-driven refractive estimates can be used to correct for near and far sightedness in an AR/VR system so that the user does not need to wear their typical correction �

  20. Computational Near-eye Displays � • Q1: Can computational displays effectively replace glasses in VR/AR? � • Q2: How to address the vergence–accommodation conflict for users of different ages? � • Q3: What are some near-eye display technologies that address this? �

  21. Conventional Stereo / VR Display � Conventional stereoscopic virtual image distance distance stereoscopic distance vergence � accommodation �

  22. Removing VAC with Adaptive Focus � With Focus Cues virtual image distance stereoscopic distance stereoscopic distance vergence � accommodation �

  23. Task � 0.5D � 4D � (2m) � (0.25m) � Follow the target with your eyes �

  24. Accommodative response in conventional display � Conventional stereoscopic virtual image distance distance Stimulus stereoscopic distance Padmanaban et al., PNAS 2017 �

  25. Accommodative response in conventional display � Conventional stereoscopic virtual image distance distance Stimulus stereoscopic Accommodation distance n = 59, mean gain = 0.29 � Padmanaban et al., PNAS 2017 �

  26. Accommodative response in focus tunable display � With Focus Cues virtual image distance stereoscopic distance Stimulus stereoscopic distance Padmanaban et al., PNAS 2017 �

  27. Accommodative response in focus tunable display � With Focus Cues virtual image distance stereoscopic distance Stimulus Accommodation stereoscopic distance n = 24, mean gain = 0.77 � Padmanaban et al., PNAS 2017 �

  28. Presbyopia � Focal range (range of clear vision) � Normal vision � Nearsighted/myopic � Farsighted/Hyperopic � Presbyopic � Optical Infinity � 4D / 25cm � Modified from Pamplona et al, Proc. of SIGGRAPH 2010 �

  29. Do Presbyopes benefit from dynamic focus? � Padmanaban et al., PNAS 2017 �

  30. Do Presbyopes benefit from dynamic focus? � Padmanaban et al., PNAS 2017 �

  31. Do Presbyopes benefit from dynamic focus? � Padmanaban et al., PNAS 2017 �

  32. Image quality in VR � far near far near Padmanaban et al., PNAS 2017 �

  33. Image quality in VR � far near far near Padmanaban et al., PNAS 2017 �

  34. Image quality in VR � far near far near Padmanaban et al., PNAS 2017 �

  35. Image quality in VR � far near far near Padmanaban et al., PNAS 2017 �

  36. Image quality in VR � far near far near Padmanaban et al., PNAS 2017 �

  37. Image quality in VR � far near far near Padmanaban et al., PNAS 2017 �

  38. Summary � • The best approach for mitigating the vergence– accommodation conflict may differ depending on the age of the user � • For users over the age of 45, a “conventional” stereo display may actually provide better image quality, particularly for nearby virtual objects. � • However, somewhat paradoxically, the dynamic display did improve fusion for all ages �

  39. • Q1: Can computational displays effectively replace glasses in VR/AR? � • Q2: How to address the vergence–accommodation conflict for users of different ages? � • Q3: What are some near-eye display technologies that address this? �

  40. • Q1: Can computational displays effectively replace glasses in VR/AR? � • Q2: How to address the vergence–accommodation conflict for users of different ages? � • Q3: What are some near-eye display technologies that address this? � • Gaze-contingent focus � • Monovision � • Light field displays � • etc �

  41. Gaze-contingent Focus � • non-presbyopes: adaptive focus is like real world, but needs eye tracking! � virtual image � HMD � micro display � lens � eye tracking � Padmanaban et al., PNAS 2017 �

  42. Gaze-contingent Focus � Padmanaban et al., PNAS 2017 �

  43. Gaze-contingent Focus � Padmanaban et al., PNAS 2017 �

  44. Gaze-contingent Focus � Padmanaban et al., PNAS 2017 �

  45. Gaze-contingent Focus – User Preference � Padmanaban et al., PNAS 2017 �

  46. Monovision VR � Konrad et al., SIGCHI 2016; Johnson et al., Optics Express 2016; Padmanaban et al., PNAS 2017 �

  47. � Monovision VR � • monovision did not drive accommodation more than conventional � • visually comfortable for most; particularly uncomfortable for some users � Konrad et al., SIGCHI 2016; Johnson et al., Optics Express 2016; Padmanaban et al., PNAS 2017 �

  48. Light Field Stereoscope � Thin Spacer & 2 nd panel (6mm) � Backlight � LCD Panel � Magnifying Lenses � Huang et al., SIGGRAPH 2015 �

  49. Light Field Stereoscope � Light Field Cameras � Huang et al., SIGGRAPH 2015 �

  50. � � � � � Summary � • focus cues in VR/AR are challenging � • adaptive focus can correct for refractive errors (myopia, hyperopia) � • gaze-contingent focus gives natural focus cues for non-presbyopes, but require eyes tracking � • presbyopes require fixed focal plane with correction � • monovision has not demonstrated significant improvements � • light field displays may be the “ultimate” display, but need special considerations for presbyopes �

  51. � � � � � Making Virtual Reality Better Than Reality? � • focus cues in VR/AR are challenging � • adaptive focus can correct for refractive errors (myopia, hyperopia) � • gaze-contingent focus gives natural focus cues for non-presbyopes, but require eyes tracking � • presbyopes require fixed focal plane with correction, better than reality! � • monovision has not demonstrated significant improvements � • light field displays may be the “ultimate” display, but need special considerations for presbyopes �

  52. Acknowledgements � • Gordon Wetzstein (Stanford) � • Robert Konrad (Stanford) � • Fu-Chung Huang (NVIDIA) � • Emily Cooper (Dartmouth College) � • Tal Stramer (Stanford) �

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