the future of human vision
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The Future of Human Vision Preferential Augmentation Using GPUs Wikimedia Foundation Nearsightedness Simulation Diplopia Simulation Early Stage Macular Degeneration Simulation Protanopia Simulation Current Situation Traditional glasses

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  1. The Future of Human Vision Preferential Augmentation Using GPUs

  2. Wikimedia Foundation

  3. Nearsightedness Simulation

  4. Diplopia Simulation

  5. Early Stage Macular Degeneration Simulation

  6. Protanopia Simulation

  7. Current Situation • Traditional glasses limited (Snell’s Law) Patient.co.uk

  8. The Idea • Broader class of transformations • Specific Cases – Colorblindness – Macular degeneration

  9. Computer Mediated Vision Input (Camera, Computational Output to other sensors) processing screen

  10. OpenGL ES Pipeline Vertex Generating Primitives; Fragment Testing, Shader Shader Rasterization Mixing Frame Buffer

  11. Current Medium

  12. Reality Hacker (Google Play)

  13. Colorblindness • LMS (wavelength) color space • Daltonization

  14. Colorblindness

  15. Colorblindness precision mediump float; varying vec2 textureCoordinate; uniform sampler2D texture1; const vec2 gcoeff = vec2(-0.255, 1.255); const vec3 bcoeff = vec3(0.30333, -0.545, 1.2417); void main() { vec4 tex = texture2D( texture1, textureCoordinate ); float g2 = dot(tex.rg, gcoeff); float b2 = dot(tex.rgb, bcoeff); gl_FragColor = vec4(tex.r, g2, b2, tex.a); };

  16. Colorblindness

  17. Colorblindness

  18. Colorblindness

  19. Macular Degeneration • Patient specific distortions • Amsler grid diagnostics

  20. Macular Degeneration

  21. Customize your World

  22. Customize your World

  23. Customize your World

  24. Customize your World

  25. Customize your World

  26. C 2 – Impossible Colors • Simple model for each eye • Retinal Rivalry – Neural experience in C 2 – Pseudo C 2 ~ GIFs – Perception variation – Alternative Correction

  27. Performance • 30 FPS (Camera API) • CPU: 7% • RAM: 232 MB • GPU: 96% • 2.4 Hours Battery

  28. Challenges • Real time imagery – Refresh Rate – Time delay • Proper stereoscopy • Field of view – Fisheye Lens

  29. Future Directions • Medical studies – Usability of diagnostic tools – Vision improvement • Sensory expansion – UV/IR – Sound – Magnetic fields, other data sources

  30. Acknowledgements • Dr. Erez Lieberman Aiden • Members of the Aiden Lab • Robert and Janice McNair Foundation

  31. Thank You! Muhammad Saad Shamim Baylor College of Medicine Questions? One Baylor Plaza Comments? Houston, TX 77030 aidenlab.org linkedin.com/in/ muhammadsaadshamim

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