1. Camera Culture
Ramesh Raskar
Camera Culture
MIT Media Lab

2. Robot Navigation?

3. 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

4. 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,

5. 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]

6. 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

7. 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