DocumentCode
860262
Title
Direct recovery of planar-parallax from multiple frames
Author
Irani, Michal ; Anandan, P. ; Cohen, Meir
Author_Institution
Dept. of Comput. Sci. & Appl. Math., Weizmann Inst. of Sci., Rehovot, Israel
Volume
24
Issue
11
fYear
2002
fDate
11/1/2002 12:00:00 AM
Firstpage
1528
Lastpage
1534
Abstract
We present an algorithm that estimates dense planar-parallax motion from multiple uncalibrated views of a 3D scene. This generalizes the "plane+parallax" recovery methods to more than two frames. The parallax motion of pixels across multiple frames (relative to a planar surface) is related to the 3D scene structure and the camera epipoles. The parallax field, the epipoles, and the 3D scene structure are estimated directly from image brightness variations across multiple frames, without precomputing correspondences.
Keywords
brightness; computer vision; motion estimation; 3D scene; camera epipoles; correspondence estimation; dense planar-parallax motion estimation; image brightness variations; multiple frames; multiple uncalibrated views; pixels; planar surface; structure from motion; Brightness; Calibration; Cameras; Geometry; Image motion analysis; Layout; Motion analysis; Motion estimation; Search problems; Shape;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.2002.1046174
Filename
1046174
Link To Document