Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/53321
Title: Stochastic stereo matching technique based on beta-splines
Authors: Singh, Kuldip 
Kwoh, Leong Keong 
Lim, Hock 
Issue Date: 1998
Source: Singh, Kuldip,Kwoh, Leong Keong,Lim, Hock (1998). Stochastic stereo matching technique based on beta-splines. International Geoscience and Remote Sensing Symposium (IGARSS) 5 : 2354-2356. ScholarBank@NUS Repository.
Abstract: In this paper, we cast the matching problem as a stochastic optimization problem with the disparities modeled by beta-splines. Here we regard the positions of the control vertices as parameters that are evaluated by an optimization algorithm. The process is ultimately the determination of the lowest-cost state whose resulting parameters defines the registration map. To this end, we introduce a cost function that is insensitive to a possible bias or scale between the intensities of the two images. The algorithm is tested with both simulated as well as real radar data and issues pertaining to its efficiency are discussed.
Source Title: International Geoscience and Remote Sensing Symposium (IGARSS)
URI: http://scholarbank.nus.edu.sg/handle/10635/53321
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