题名 | Lip segmentation under MAP-MRF framework with automatic selection of local observation scale and number of segments |
作者 | |
发表日期 | 2014 |
发表期刊 | IEEE Transactions on Image Processing
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ISSN/eISSN | 1057-7149 |
卷号 | 23期号:8页码:3397-3411 |
摘要 | This paper addresses the problem of segmenting lip region from frontal human face image. Supposing each pixel of the target image has an optimal local scale from the segmentation viewpoint, we treat the lip segmentation problem as a combination of observation scale selection and observed data classification. Accordingly, we propose a hierarchical multiscale Markov random field (MRF) model to represent the membership map of each input pixel to a specific segment and local-scale map simultaneously. Subsequently, lip segmentation can be formulated as an optimal problem in the maximum a posteriori (MAP)-MRF framework. Then, we present a rival-penalized iterative algorithm to implement the segmentation, which is independent of the number of predefined segments. The proposed method mainly features two aspects: 1) its performance is independent of the predefined number of segments, and 2) it takes into account the local optimal observation scale for each pixel. Finally, we conduct the experiments on four benchmark databases, i.e. AR, CVL, GTAV, and VidTIMIT. Experimental results show that the proposed method is robust to the segment number that changes with a speaker's appearance, and can enhance the segmentation accuracy by taking advantage of the local optimal observation scale information. © 1992-2012 IEEE. |
关键词 | Lip segmentation local scale selection MAP-MRF framework number of segments |
DOI | 10.1109/TIP.2014.2331137 |
URL | 查看来源 |
语种 | 英语English |
Scopus入藏号 | 2-s2.0-84904352459 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/6519 |
专题 | 北师香港浸会大学 |
作者单位 | 1.Department of Computer Science, Institute of Computational and Theoretical Studies, Hong Kong Baptist University,Hong Kong 2.United International College, Beijing Normal University-Hong Kong Baptist University,Zhuhai,China 3.State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences,Beijing 100093,China 4.Department of Electronics and Information Engineering, Huazhong University of Science and Technology,Wuhan 430074,China |
第一作者单位 | 北师香港浸会大学 |
推荐引用方式 GB/T 7714 | Cheung,Yiu Ming,Li,Meng,Cao,Xiaochunet al. Lip segmentation under MAP-MRF framework with automatic selection of local observation scale and number of segments[J]. IEEE Transactions on Image Processing, 2014, 23(8): 3397-3411. |
APA | Cheung,Yiu Ming, Li,Meng, Cao,Xiaochun, & You,Xinge. (2014). Lip segmentation under MAP-MRF framework with automatic selection of local observation scale and number of segments. IEEE Transactions on Image Processing, 23(8), 3397-3411. |
MLA | Cheung,Yiu Ming,et al."Lip segmentation under MAP-MRF framework with automatic selection of local observation scale and number of segments". IEEE Transactions on Image Processing 23.8(2014): 3397-3411. |
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