Simplest Visual Organs - MIT Media Lab
Simplest Visual Organs - MIT Media Lab Simplest Visual Organs - MIT Media Lab
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28.12.2013
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Car Manuals 52
What are the problems with ‘real’ photo in conveying information ? Why do we hire artists to draw what can be photographed ? Shadows Clutter Many Colors Highlight Shape Edges Mark moving parts Basic colors 53
- Page 1 and 2: Mitsubishi Electric Research Labora
- Page 3 and 4: Special Aperture ? Larval Trematode
- Page 5: Out of Focus Photo: Coded Aperture
- Page 8 and 9: Refocused on Person Blurred Photos
- Page 10 and 11: Short Exposure Traditional MURA Shu
- Page 12 and 13: Flutter Shutter Camera Raskar, Agra
- Page 14 and 15: × 14
- Page 16 and 17: Coded Exposure Coded Aperture Tempo
- Page 18 and 19: Coded Aperture in Nature ? Larval T
- Page 20 and 21: Computational Photography 1. Epsilo
- Page 22 and 23: Capturing Light Field Inside a Came
- Page 24 and 25: How to Capture 4D Light Field with
- Page 26 and 27: Computing 4D Light Field 2D Sensor
- Page 28 and 29: How to Capture 2D Light Field with
- Page 30 and 31: Sensor Slice captures entire Light
- Page 32 and 33: Where to place the Mask? Sensor Sen
- Page 34 and 35: Computing 4D Light Field 2D Sensor
- Page 36 and 37: Coding and Modulation in Camera Usi
- Page 38 and 39: Projector Pos=0 Coded Illumination
- Page 40 and 41: Fast Switching using Non-colocated
- Page 42 and 43: Labeling Space LED Optics Screen Gr
- Page 44 and 45: 2D Location 3D Location X data X2 d
- Page 46 and 47: Lightmeters: Realistic Editing + Bl
- Page 48 and 49: Future of Coding Light • How to b
- Page 50 and 51: • Coded Exposure - Motion Deblurr
- Page 54 and 55: Shadows A New Problem Highlight Edg
- Page 57 and 58: Depth Discontinuities Internal and
- Page 59: Photo Result Our Method Canny Inten
Car Manuals<br />
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