DocumentCode :
2403448
Title :
Non-refractive modulators for encoding and capturing scene appearance and depth
Author :
Veeraraghavan, Ashok ; Agrawal, Amit ; Raskar, Ramesh ; Mohan, Ankit ; Tumblin, Jack
Author_Institution :
Univ. of Maryland, College Park, MD
fYear :
2008
fDate :
23-28 June 2008
Firstpage :
1
Lastpage :
8
Abstract :
We analyze the modulation of a light field via non-refracting attenuators. In the most general case, any desired modulation can be achieved with attenuators having four degrees of freedom in ray-space. We motivate the discussion with a universal 4D ray modulator (ray-filter) which can attenuate the intensity of each ray independently. We describe operation of such a fantasy ray-filter in the context of altering the 4D light field incident on a 2D camera sensor. Ray-filters are difficult to realize in practice but we can achieve reversible encoding for light field capture using patterned attenuating mask. Two mask-based designs are analyzed in this framework. The first design closely mimics the angle-dependent ray-sorting possible with the ray filter. The second design exploits frequency-domain modulation to achieve a more efficient encoding. We extend these designs for optimal sampling of light field by matching the modulation function to the specific shape of the band-limit frequency transform of light field. We also show how a hand-held version of an attenuator based light field camera can be built using a medium-format digital camera and an inexpensive mask.
Keywords :
attenuators; frequency modulation; image coding; optical modulation; band-limit frequency transform; encoding; frequency-domain modulation; mask-based designs; nonrefracting attenuators; nonrefractive modulators; ray-filters; universal 4D ray modulator; Attenuators; Digital cameras; Encoding; Filters; Frequency domain analysis; Frequency modulation; Intensity modulation; Layout; Optical modulation; Sensor phenomena and characterization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
Conference_Location :
Anchorage, AK
ISSN :
1063-6919
Print_ISBN :
978-1-4244-2242-5
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2008.4587835
Filename :
4587835
Link To Document :
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