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使用循环约束消除视觉关系的歧义Disambiguating Visual Relations Using Loop Constraints |
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| 课程网址: | http://videolectures.net/cvpr2010_zach_dvru/ |
| 主讲教师: | Christopher Zach |
| 开课单位: | 苏黎世联邦理工学院 |
| 开课时间: | 2010-07-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Repetitive and ambiguous visual structures in general pose a severe problem in many computer vision applications. Identification of incorrect geometric relations between images solely based on low level features is not always possible, and a more global reasoning approach about the consistency of the estimated relations is required. We propose to utilize the typically observed redundancy in the hypothesized relations for such reasoning, and focus on the graph structure induced by those relations. Chaining the (reversible) transformations over cycles in this graph allows to build suitable statistics for identifying inconsistent loops in the graph. This data provides indirect evidence for conflicting visual relations. Inferring the set of likely false positive geometric relations from these non-local observations is formulated in a Bayesian framework. We demonstrate the utility of the proposed method in several applications, most prominently the computation of structure and motion from images. |
| 关 键 词: | 视觉结构; 计算机视觉应用; 假设关系 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-03-13：lxf |
| 阅读次数: | 62 |