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基于运动的高精度二视图结构匹配选择与细化Match Selection and Refinement for Highly Accurate Two-View Structure from Motion |
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| 课程网址: | http://videolectures.net/eccv2014_liu_match_selection/ |
| 主讲教师: | Zhe Liu |
| 开课单位: | 庞特帕里斯泰克学校 |
| 开课时间: | 2014-10-29 |
| 课程语种: | 英语 |
| 中文简介: |  在两种情况下，我们提出了一种从运动（SfM）增强结构精度的方法。我们首先回答一个问题：“数据精度更高，还是数据精度更低？”为此，我们在SfM错误与匹配数及其对极错误的函数之间建立关系。然后，使用单个匹配项的准确度估算器，我们提出了一种方法来选择质量和数量折衷都很好的匹配项子集。我们还提出了最小二乘匹配的变体，以基于聚焦网格和多尺度探索来完善匹配位置。实验表明，选择和细化均独立地有助于提高准确性。它们的组合可将旋转误差降低1.1到2.0倍，将翻译降低1.6到3.8倍。 |
| 课程简介: | We present an approach to enhance the accuracy of structure from motion (SfM) in the two-view case. We first answer the question: “fewer data with higher accuracy, or more data with less accuracy?” For this, we establish a relation between SfM errors and a function of the number of matches and their epipolar errors. Using an accuracy estimator of individual matches, we then propose a method to select a subset of matches that has a good quality vs. quantity compromise. We also propose a variant of least squares matching to refine match locations based on a focused grid and a multi-scale exploration. Experiments show that both selection and refinement contribute independently to a better accuracy. Their combination reduces errors by a factor of 1.1 to 2.0 for rotation, and 1.6 to 3.8 for translation. |
| 关 键 词: | 匹配函数; 增强精度 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-12-23：zyk |
| 最后编审: | 2020-12-23：zyk |
| 阅读次数: | 20 |