Record Details

DEPTH RECOVERY USING MARKOV RANDOM-FIELDS

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title DEPTH RECOVERY USING MARKOV RANDOM-FIELDS
 
Creator KAPOOR, S
MUNDKUR, PY
DESAI, UB
 
Subject depth recovery
markov random field
clique model
simulated annealing
surface reconstruction
early vision
 
Description This paper deals with the problem of depth recovery or surface reconstruction from sparse and noisy range data. The image is modelled as a Markov Random Field and a new potential function is developed to effectively detect discontinuities in highly sparse and noisy images. No use of any line process is made. Interpolation over missing data sites is first done using local characteristics and simulated annealing is then used to compute the maximum a posteriori (MAP) estimate. Results of software simulations carried out on actual range images along with details of the simulations are presented.
 
Publisher INDIAN ACADEMY SCIENCES
 
Date 2011-08-02T02:02:20Z
2011-12-26T12:53:37Z
2011-12-27T05:40:14Z
2011-08-02T02:02:20Z
2011-12-26T12:53:37Z
2011-12-27T05:40:14Z
1993
 
Type Article
 
Identifier SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 18(), 17-29
0256-2499
http://dx.doi.org/10.1007/BF02811384
http://dspace.library.iitb.ac.in/xmlui/handle/10054/8618
http://hdl.handle.net/10054/8618
 
Language en