DocumentCode :
3126916
Title :
Three-dimensional scene flow
Author :
Vedula, Sundar ; Baker, Simon ; Rander, Peter ; Collins, Robert ; Kanade, Takeo
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
2
fYear :
1999
fDate :
1999
Firstpage :
722
Abstract :
Scene flow is the three-dimensional motion field of points in the world, just as optical flow is the two-dimensional motion field of points in an image. Any optical flow is simply the projection of the scene flow onto the image plane of a camera. We present a framework for the computation of dense, non-rigid scene flow from optical flow. Our approach leads to straightforward linear algorithms and a classification of the task into three major scenarios: complete instantaneous knowledge of the scene structure; knowledge only of correspondence information; and no knowledge of the scene structure. We also show that multiple estimates of the normal flow cannot be used to estimate dense scene flow directly without some form of smoothing or regularization
Keywords :
cameras; image motion analysis; image sequences; 3D scene flow; camera; classification; linear algorithms; optical flow; regularization; smoothing; three-dimensional motion field; three-dimensional scene flow; two-dimensional motion field; Cameras; Ear; Image motion analysis; Layout; Motion estimation; Neutron spin echo; Optical computing; Read only memory; Robots; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on
Conference_Location :
Kerkyra
Print_ISBN :
0-7695-0164-8
Type :
conf
DOI :
10.1109/ICCV.1999.790293
Filename :
790293
Link To Document :
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