DocumentCode :
1748633
Title :
On projection matrices Pk→P2, k=3,…,6, and their applications in computer vision
Author :
Wolf, Lior ; Shashua, Amnon
Author_Institution :
Sch. of Comput. Sci. & Eng., Hebrew Univ., Jerusalem, Israel
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
412
Abstract :
Projection matrices from projective spaces P3 to P2 have long been used in multiple-view geometry to model the perspective projection created by the pin-hole camera. In this work we introduce higher-dimensional mappings Pk→P2, k=4,5,6 for the representation of various applications in which the world we view is no longer rigid. We also describe the multi-view constraints from these new projection matrices and methods for extracting the (non-rigid) structure and motion for each application
Keywords :
computer vision; feature extraction; matrix algebra; computer vision; higher-dimensional mappings; motion; multi-view constraints; multiple-view geometry; projection matrices; projective spaces; structure; Application software; Cameras; Computational geometry; Computer science; Computer vision; Electronic mail; Integrated circuit modeling; Layout; Tensile stress; Transmission line matrix methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7695-1143-0
Type :
conf
DOI :
10.1109/ICCV.2001.937547
Filename :
937547
Link To Document :
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