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
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