图 书 馆
低级计算机视觉任务中的自主几何精度误差估计Autonomous Geometric Precision Error Estimation in Low-level Computer Vision Tasks |
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| 课程网址: | http://videolectures.net/icml08_paisley_agpee/ |
| 主讲教师: | John Paisley |
| 开课单位: | 杜克大学 |
| 开课时间: | 2008-08-29 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Errors in map-making tasks using computer vision are sparse. We demonstrate this by considering the construction of digital elevation models that employ stereo matching algorithms to triangulate real-world points. This sparsity, coupled with a geometric theory of errors recently developed by the authors, allows for autonomous agents to calculate their own precision independently of ground truth. We connect these developments with recent advances in the mathematics of sparse signal reconstruction or compressed sensing. The theory presented here extends the autonomy of 3-D model reconstructions discovered in the 1990s to their errors. |
| 关 键 词: | 计算机视觉; 地图制作; 立体匹配算法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-19：lxf |
| 阅读次数: | 86 |