Title :
An efficient solution to the five-point relative pose problem
Author_Institution :
Sarnoff Corp., Princeton, NJ, USA
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on
Print_ISBN :
0-7695-1900-8
DOI :
10.1109/CVPR.2003.1211470