图 书 馆
结合3D表面和关节姿态重建的判别和生成方法Combining Discriminative and Generative Methods for 3D Deformable Surface and Articulated Pose Reconstruction |
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| 课程网址: | http://videolectures.net/cvpr2010_salzmann_cdgm/ |
| 主讲教师: | Mathieu Salzmann |
| 开课单位: | 澳大利亚ICT卓越研究中心 |
| 开课时间: | 2010-07-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Historically non-rigid shape recovery and articulated pose estimation have evolved as separate fields. Recent methods for non-rigid shape recovery have focused on improving the algorithmic formulation, but have only considered the case of reconstruction from point-to-point correspondences. In contrast, many techniques for pose estimation have followed a discriminative approach, which allows for the use of more general image cues. However, these techniques typically require large training sets and suffer from the fact that standard discriminative methods do not enforce constraints between output dimensions. In this paper, we combine ideas from both domains and propose a unified framework for articulated pose estimation and 3D surface reconstruction. We address some of the issues of discriminative methods by explicitly constraining their prediction. Furthermore, our formulation allows for the combination of generative and discriminative methods into a single, common framework. |
| 关 键 词: | 非刚性形状恢复; 铰接式; 算法公式 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-03-13：lxf |
| 阅读次数: | 37 |