Title :
A general rank-2 parameterization of the fundamental matrix
Author :
Isgro, Francesco ; Trucco, Emanuele
Author_Institution :
Dept. of Comput. & Electr. Eng., Heriot-Watt Univ., Edinburgh, UK
Abstract :
All the methods for estimating the fundamental matrix do not naturally exploit the rank-2 constraint. For this reason few rank-2 parameterizations of the fundamental matrix have been proposed over the years. In general they can be an over parameterization (12 parameters) being generally valid, or use a minimal set of parameters (eight) but do not cover all the rank-2 matrices. We propose a rank-2 parameterization which uses only 9 parameters, one more of the minimal parameterizations, and covers all the rank-2 matrices
Keywords :
matrix algebra; stereo image processing; fundamental matrix; general rank-2 parameterization; minimal parameterizations; Constraint optimization; Encoding; Equations; Null space; Optimization methods; Runtime; Stereo vision; Testing;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.905556