Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4635480 | Applied Mathematics and Computation | 2007 | 11 Pages |
Abstract
This paper presents a new dynamic generating graphical model for point-sets matching. The existing algorithms on graphical models are quite robust to noise but are susceptible to the effects of outliers. We investigated the influences of separators on point-sets matching in inference of graphical models theoretically and found that the separators that consist of outliers will interfere with message-passing, which will directly lead to failure of the existing methods. Because of this, in order to minimize the outliers in the separators, we propose a new algorithm for generating a graphical model and a corresponding Junction Tree for point-sets matching. A bi-mapping algorithm is also introduced to solve the problem of multi-mapping caused by outliers. Experiments were carried out on both synthetical data and real-world data with point-sets extracted by the Harris corner detector. The results show that the proposed algorithm is significantly more stable and possesses higher accuracy of point-sets matching, which can overcome the limitation of the sensitivity of outliers in the existing graphical models.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Xuan Zhao, Shengjin Wang, Xiaoqing Ding,