Camera Culture Ramesh Raskar Camera Culture MIT Media Lab.

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Presentation transcript:

Camera Culture Ramesh Raskar Camera Culture MIT Media Lab

Robot Navigation?

Computational Photography Capture Visual Experience What will a camera look like in 10,20 years? Developing Countries Next Billion Cameras Camera to support best ‘image search’? Pervasive Imaging GoogleEarth Live Task-specific Cameras Retinal Implants NanoCams

Computational Photography Epsilon Photography Low-level Vision: Pixels Multiphotos by bracketing (HDR, panorama) ‘Ultimate camera’ Coded Photography Mid-Level Cues: Regions, Edges, Motion, Direct/global Single/few snapshot Reversible encoding of data Additional sensors/optics/illum Essence Photography Not mimic human eye Beyond single view/illum ‘New artform’ Stereo-pair is a simple example of coded photography. Many decomposition problems, direct/global, diffuse/specular,

Coded Computational Photography Coded Exposure Motion Deblurring [2006] Coded Aperture Focus Deblurring [2007] Glare reduction [2008] Optical Heterodyning Light Field Capture [2007] Coded Illumination Global/Direct Decomposition [2006] Motion Capture [2007] Multi-flash: Shape Contours [2004] Coded Spectrum Agile Wavelength Profile [2008]

Computational Photography Capture Visual Experience What will a camera look like in 10,20 years? Developing Countries Next Billion Cameras Camera to support best ‘image search’? Pervasive Imaging GoogleEarth Live Task-specific Cameras Retinal Implants NanoCams

Special Aperture ‘Single Pixel’ Camera Larval Trematode Worm Shielded by screening pigment. The visual organ provides no spatial information, but by comparing the signal from 2 organs or by moving the body, the worm can navigate towards brighter or darker places. It can also keep certain body orientation. Despite lack of spatial vision, this is an evolutionary forerunner to real eyes. ‘Single Pixel’ Camera Larval Trematode Worm