A stochastic stereo matching technique based on beta-splines

Author

Singh, Kuldip ; Kwoh, Leong Keong ; Lim, Hock

Author_Institution

Center for Remote Imaging Sensing & Process., Nat. Univ. of Singapore, Singapore

Volume

5

fYear

1998

fDate

6-10 Jul 1998

Firstpage

2354

Abstract

The authors cast the matching problem as a stochastic optimization problem with the disparities modeled by beta-splines. They 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, they 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

Keywords

geodesy; geophysical signal processing; geophysical techniques; image registration; remote sensing; splines (mathematics); stereo image processing; terrain mapping; topography (Earth); beta-splines; control vertex; control vertices; cost function; disparity; geophysical measurement technique; image processing; image registration map; land surface; matching problem; optimization algorithm; remote sensing; splines; stereo image processing; stochastic optimization problem; stochastic stereo matching; terrain mapping; Energy states; Humans; Image matching; Land surface temperature; Pixel; Simulated annealing; Solid modeling; Stochastic processes; Temperature dependence; Temperature distribution;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International

Conference_Location

Seattle, WA

Print_ISBN

0-7803-4403-0

Type

conf

DOI

10.1109/IGARSS.1998.702211

Filename

702211