A Linear Solving Method for Rank 2 Fundamental Matrix of Noncompulsory Constraint

摘要：

Solving the fundamental matrix is an impor tant research topic in computer vision．The relationship between the epipole and the parameters of fundamental matrix can be found from the fundamental matrix of rank 2. A new model is equivalent to the fundamental matrix of rank 2．The model of the fundamental matrix，whose rank equals 2 can be provided．According to the relationship between the parameters，the epipole and the fundamental matrix model，a linear method which avoids the objecfive function of unconstraint programming solving a nonHnear equation with the element 4 and the power 8 is provided.It realized stable estimation 0f the fundamental matrix.In the same scene,our algorithm compared with the 8-Points aigorithm and the RANSAC algorithm,indicates that our algorithm has smaller errors under certain case.The comparison of results indicates our method algorithm is feasible and has stronger practicability by experiment.

关键词： Fundamental matrix Epipole Epipolar Linear Solving Method.

作者: Shimin Wang Juan Wang Yue Zhao

作者单位: School of Mathematics and Statistics,Yunnan University,China School of Mathematics and St-atistics,Yunnan University,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

会议地点: 桂林

会议语种:英文

页码: 2102-2107

在线出版日期: 2009-12-19（万方平台首次上网日期，不代表论文的发表时间）