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Simultaneous estimation of super-resolved depth map and intensity field using photometric cue

DSpace at IIT Bombay

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Title Simultaneous estimation of super-resolved depth map and intensity field using photometric cue
 
Creator JOSHI, MV
CHAUDHURI, S
 
Subject reconstruction algorithm
superresolution image
light-source
resolution
restoration
shape
registration
direction
sequence
albedo
super-resolution
generalized interpolation
markov random field
regularization
surface gradients
 
Description We present a super-resolution technique where the 3-D shape preservation is used as a constraint while super-resolving a scene. Given the observations under different illuminant positions, we combine these observations to obtain the super-resolved image and the spatially enhanced scene structure simultaneously. The use of shape cue in the form of photometric measurements, instead of the motion cue, eliminates the need for image registration with a sub-pixel accuracy. We model the high-resolution image, the structure, and the albedo of the surface as separate Markov random fields and super-resolve them using a suitable regularization scheme. Results of the experimentation on real data are presented. (c) 2005
 
Publisher ACADEMIC PRESS INC ELSEVIER SCIENCE
 
Date 2011-07-12T17:04:36Z
2011-12-26T12:48:59Z
2011-12-27T05:34:34Z
2011-07-12T17:04:36Z
2011-12-26T12:48:59Z
2011-12-27T05:34:34Z
2006
 
Type Article
 
Identifier COMPUTER VISION AND IMAGE UNDERSTANDING, 101(1), 31-44
1077-3142
http://dx.doi.org/10.1016/j.cviu.2005.08.001
http://dspace.library.iitb.ac.in/xmlui/handle/10054/3391
http://hdl.handle.net/10054/3391
 
Language en