Explore semantic pixel sets based local patterns with information entropy for face recognition
文献类型：期刊论文
| 作者 | Chai, Zhenhua1; Mendez-Vazquez, Heydi1,2; He, Ran1; Sun, Zhenan1; Tan, Tieniu1; Zhenan Sun ; Ran He(赫然); Tieniu Tan
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| 刊名 | EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING
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| 出版日期 | 2014-05-06 |
| 英文摘要 | Several methods have been proposed to describe face images in order to recognize them automatically. Local methods based on spatial histograms of local patterns (or operators) are among the best-performing ones. In this paper, a new method that allows to obtain more robust histograms of local patterns by using a more discriminative spatial division strategy is proposed. Spatial histograms are obtained from regions clustered according to the semantic pixel relations, making better use of the spatial information. Here, a simple rule is used, in which pixels in an image patch are clustered by sorting their intensity values. By exploring the information entropy on image patches, the number of sets on each of them is learned. Besides, Principal Component Analysis with a Whitening process is applied for the final feature vector dimension reduction, making the representation more compact and discriminative. The proposed division strategy is invariant to monotonic grayscale changes, and shows to be particularly useful when there are large expression variations on the faces. The method is evaluated on three widely used face recognition databases: AR, FERET and LFW, with the very popular LBP operator and some of its extensions. Experimental results show that the proposal not only outperforms those methods that use the same local patterns with the traditional division, but also some of the best-performing state-of-the-art methods. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology |
| 研究领域[WOS] | Engineering ; Imaging Science & Photographic Technology |
| 关键词[WOS] | ORIENTED EDGE MAGNITUDES ; BINARY PATTERNS ; TEXTURE CLASSIFICATION ; REPRESENTATION ; SCALE ; IMAGE |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000336386600001 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3781]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Adv Technol Applicat Ctr, Havana, Cuba |
| 推荐引用方式 GB/T 7714 | Chai, Zhenhua,Mendez-Vazquez, Heydi,He, Ran,et al. Explore semantic pixel sets based local patterns with information entropy for face recognition[J]. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING,2014. |
| APA | Chai, Zhenhua.,Mendez-Vazquez, Heydi.,He, Ran.,Sun, Zhenan.,Tan, Tieniu.,...&Tieniu Tan.(2014).Explore semantic pixel sets based local patterns with information entropy for face recognition.EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING. |
| MLA | Chai, Zhenhua,et al."Explore semantic pixel sets based local patterns with information entropy for face recognition".EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING (2014). |
入库方式： OAI收割
来源：自动化研究所
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