计算机技术与发展2011，Vol.21Issue(11)：8-10,3.
基于五点算法估计基础矩阵的研究
Research of Fundamental Matrix Based on 5-Point Algorithm
摘要
Abstract
Fundamental matrix is the basis of three - dimensional reconstruction and motion estimation,camera calibration and matching , is an important task in computer vision. It uses the Polar distance minimum principle to 5-point algorithm for improving: in the initial estimation, using the 5-point algorithm, reducing the number of algorithm of sampling and sample time, and then point to a line of minimum distance principle removed to 5 points algorithms for polynomial false solution, use the correct solution to the nature of matrix, and then by the basic nature of matrix and matrix normalization of relations between fundamental matrix get fundamental matrix. Experiment proved the algorithm improved the accuracy of estimation basic matrix and removed misunderstanding solution,improved the accuracy rate of the 5 -point algorithm.关键词
基础矩阵/本质矩阵/五点算法/点到极线的距离最小原理Key words
fundamental matrix/essential matrix/5-point algorithm/point to a line of minimum distance principle分类
信息技术与安全科学引用本文复制引用
周春艳,范学栋,邹峥嵘..基于五点算法估计基础矩阵的研究[J].计算机技术与发展,2011,21(11):8-10,3.基金项目
国家自然科学基金(6107187) （6107187）
