A robust algorithm to estimate the fundamental matrix
作者： Zezhi Chen , Chengke Wu , Peiyi Shen , Yong Liu , Long Quan
DOI: 10.1016/S0167-8655(00)00042-8
关键词:
摘要: Abstract A new method, the biepipole constraint algorithm, is developed to estimate fundamental matrix (F-matrix) based on an 8-parameter model and geometrical analysis. First, through analysis of constraints, four parameters F-matrix can be estimated by solving a nonlinear unconstraint optimization problem. The objective function problem equation degree six in unknowns. Then, other evaluated using SVD method. Particular novelties algorithm are obvious meanings parameters, fewer matching point pairs higher accuracy. Results presented for synthetic real image pairs, which show that our performs very well terms robustness outliers noises, so excellent results obtained.
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