Facial point detection with occlusion insensitive visibility-aware part model
文献类型：会议论文
| 作者 | Li, Yuanqian; Liu, Yanfei; Zhou, Xi |
| 出版日期 | 2013 |
| 会议日期 | December 13, 2013 - December 16, 2013 |
| 会议地点 | Nanjing, China |
| DOI | 10.1007/978-3-319-03731-8_3 |
| 页码 | 25-34 |
| 英文摘要 | In this paper, we describe a method named visibility-aware part model for facial point detection in static images based on the pictorial structure model. A binary part visibility term is introduced to describe the occlusion state of each part, which can determine which facial points are occluded. The introduction of the term enhances the representation power of the model especially for the occlusions. The combining of the structure constrains and the powerful appearance model makes the model more robust and reduces the possibility of model crashing in some extent. Experimental results show that our proposed model can detect facial feature points accurately and robustly under occlusions. © Springer International Publishing Switzerland 2013. |
| 会议录 | 14th Pacific-Rim Conference on Multimedia, PCM 2013
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| 语种 | 英语 |
| 电子版国际标准刊号 | 16113349 |
| ISSN号 | 03029743 |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/4744]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 作者单位 | Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 401122, Chongqing, China |
| 推荐引用方式 GB/T 7714 | Li, Yuanqian,Liu, Yanfei,Zhou, Xi. Facial point detection with occlusion insensitive visibility-aware part model[C]. 见:. Nanjing, China. December 13, 2013 - December 16, 2013. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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