图 书 馆
使用有界直径最小生成树的密集主动外观模型Dense Active Appearance Models Using a Bounded Diameter Minimum Spanning Tree |
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| 课程网址: | http://videolectures.net/bmvc2012_anderson_spanning_tree/ |
| 主讲教师: | Robert Anderson |
| 开课单位: | 剑桥大学 |
| 开课时间: | 2012-10-09 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We present a method for producing dense Active Appearance Models (AAMs), suitable for video-realistic synthesis. To this end we estimate a joint alignment of all training images using a set of pairwise registrations and ensure that these pairwise registrations are only calculated between similar images. This is achieved by defining a graph on the image set whose edge weights correspond to registration errors and computing a bounded diameter minimum spanning tree (BDMST). Dense optical flow is used to compute pairwise registration and we introduce a flow refinement method to align small scale texture. Once registration between training images has been established we propose a method to add vertices to the AAM in a way that minimises error between the observed flow fields and a flow field interpolated between the AAM mesh points. We demonstrate a significant improvement in model compactness using the proposed method and show it dealing with cases that are problematic for current state-of-the-art approaches. |
| 关 键 词: | 密集主动外观模型; 逼真合成; 相似图像 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2021-01-30：nkq |
| 阅读次数: | 39 |