DocumentCode
300068
Title
Parameterized surface fitting via MAP estimation for binocular stereo
Author
Weisman, Michael J. ; Yuille, Alan L. ; Clark, James J.
Author_Institution
Div. of Appl. Sci., Harvard Univ., Cambridge, MA, USA
Volume
2
fYear
1995
fDate
21-27 May 1995
Firstpage
2049
Abstract
We present a novel method for reconstructing three dimensional surfaces from stereo intensity data. We employ a set of competing surface hypotheses based on parameterized models. We use maximum a posteriori (MAP) estimation and demonstrate a connection to the Hough transform. Experimental results are given showing the effectiveness of the algorithm
Keywords
Hough transforms; computer vision; curve fitting; estimation theory; image reconstruction; stereo image processing; surface fitting; 3D surface reconstruction; Hough transform; binocular stereo; maximum a posteriori estimation; parameterized models; parameterized surface fitting; stereo intensity data; Cameras; Equations; Geometry; Image reconstruction; Joining processes; Layout; Stereo image processing; Stereo vision; Surface fitting; Surface reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
Conference_Location
Nagoya
ISSN
1050-4729
Print_ISBN
0-7803-1965-6
Type
conf
DOI
10.1109/ROBOT.1995.525564
Filename
525564
Link To Document