DocumentCode
2346293
Title
Two-body segmentation from two perspective views
Author
Wolf, Lior ; Shashua, Amnon
Author_Institution
Sch. of Comput. Sci. & Eng., Hebrew Univ., Jerusalem, Israel
Volume
1
fYear
2001
fDate
2001
Abstract
We consider a scene containing two independently and generally moving objects, viewed by two general perspective views. Using matching points arising from both objects simultaneously we derive a geometrical constraint, applicable to points from both objects, we call the segmentation matrix. We then use this constraint in order to recover the fundamental matrices associated with, each object, or simply to segment the scene into the two objects. Moreover, when the two bodies move in pure translation relative to each other we can both segment the scene and recover the affine calibration (homography at infinity) of the camera geometry. Unlike algorithms suggested in the past we need only two images, we work with general projective cameras (rather than affine or orthographic) and with general body motion, and no prior information beyond point matches is required.
Keywords
image segmentation; affine calibration; fundamental matrices; geometrical constraint; moving objects; scene; segmentation; segmentation matrix; Calibration; Cameras; Computer science; Geometry; H infinity control; Image segmentation; Impedance matching; Layout; Solid modeling; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
ISSN
1063-6919
Print_ISBN
0-7695-1272-0
Type
conf
DOI
10.1109/CVPR.2001.990485
Filename
990485
Link To Document