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运用博弈论方法进行稳健的内部选择A Game-Theoretic Approach to Robust Inlier Selection |
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| 课程网址: | http://videolectures.net/ssspr2010_torsello_gtaris/ |
| 主讲教师: | Andrea Torsello |
| 开课单位: | 威尼斯卡福斯卡里大学 |
| 开课时间: | 2010-09-13 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Inlier selection, i.e., the extraction of small set of correct fiduciary correspondences from a large set of points is a fundamental step of various estimation processes in Computer Vision, ranging from object recognition, to surface/image registration, to pose estimation. The typical approach is to attach to each point a descriptor which is used in aiding the extraction of good correspondences. However, unary descriptors alone cannot guarantee the lack of outliers, which must then be filtered out. Typically these filtering approaches are either based on the initial estimation performed with the outliers, or on a RANSAC-like process, thus being effective only for small outlier ratios. We offer a change in perspective, where a game-theoretic matching technique that exploits global geometric consistency allows to obtain an extremely robust correspondences even when coupled with simple features exhibiting very low distinctiveness. The effectiveness of the approach is shown on surface registration and pose estimation problems. |
| 关 键 词: | 内在选择; 基准对应; 滤波方法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-26：cwx |
| 阅读次数: | 60 |