DocumentCode :
1642764
Title :
An efficient solution to the five-point relative pose problem
Author :
Nistér, David
Author_Institution :
Sarnoff Corp., Princeton, NJ, USA
Volume :
2
fYear :
2003
Abstract :
An efficient algorithmic solution to the classical five-point relative pose problem is presented. The problem is to find the possible solutions for relative camera motion between two calibrated views given five corresponding points. The algorithm consists of computing the coefficients of a tenth degree polynomial and subsequently finding its roots. It is the first algorithm well suited for numerical implementation that also corresponds to the inherent complexity of the problem. The algorithm is used in a robust hypothesis-and-test framework to estimate structure and motion in real-time.
Keywords :
computational complexity; image motion analysis; polynomials; calibrated view; camera position; five-point relative pose problem; multiple viewpoints; numerical implementation; problem complexity; real-time motion estimation; real-time structure estimation; relative camera motion; robust hypothesis-and-test framework; scene structure reconstruction; tenth degree polynomial coefficient; tenth degree polynomial root; Calibration; Cameras; Collaboration; Computer vision; Government; Image reconstruction; Layout; Motion estimation; Polynomials; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-1900-8
Type :
conf
DOI :
10.1109/CVPR.2003.1211470
Filename :
1211470
Link To Document :
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