Learning predictable binary codes for face indexing
文献类型：期刊论文
| 作者 | He, Ran1,2; Cai, Yinghao3; Tan, Tieniu1,2; Davis, Larry4,5; Yinghao Cai ; Ran He(赫然); Tieniu Tan
|
| 刊名 | PATTERN RECOGNITION
 |
| 出版日期 | 2015-10-01 |
| 卷号 | 48期号:10页码:3160-3168 |
| 关键词 | Binary codes Hashing Face index Large scale Feature learning |
| 英文摘要 | High dimensional dense features have been shown to be useful for face recognition, but result in high query time when searching a large-scale face database. Hence binary codes are often used to obtain fast query speeds as well as reduce storage requirements. However, binary codes for face features can become unstable and unpredictable due to face variations induced by pose, expression and illumination. This paper proposes a predictable hash code algorithm to map face samples in the original feature space to Hamming space. First, we discuss the 'predictability' of hash codes for face indexing. Second, we formulate the predictable hash coding problem as a non-convex combinatorial optimization problem, in which the distance between codes for samples from the same class is minimized while the distance between codes for samples from different classes is maximized. An Expectation Maximization method is introduced to iteratively find a sparse and predictable linear mapping. Lastly, a deep feature representation is learned to further enhance the predictability of binary codes. Experimental results on three commonly used face databases demonstrate the superiority of our predictable hash coding algorithm on large-scale problems. (C) 2015 Elsevier Ltd. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | SPARSE REPRESENTATION ; RECOGNITION ; RETRIEVAL ; ALGORITHM |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000357246100018 |
| 公开日期 | 2015-09-22 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/7901]  |
| 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, Ctr Res Intelligent Percept & Comp, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 4.Univ Maryland, Inst Adv Comp Studies, College Pk, MD 20742 USA 5.Univ Maryland, Dept Comp Sci, College Pk, MD 20742 USA |
| 推荐引用方式 GB/T 7714 | He, Ran,Cai, Yinghao,Tan, Tieniu,et al. Learning predictable binary codes for face indexing[J]. PATTERN RECOGNITION,2015,48(10):3160-3168. |
| APA | He, Ran.,Cai, Yinghao.,Tan, Tieniu.,Davis, Larry.,Yinghao Cai.,...&Tieniu Tan.(2015).Learning predictable binary codes for face indexing.PATTERN RECOGNITION,48(10),3160-3168. |
| MLA | He, Ran,et al."Learning predictable binary codes for face indexing".PATTERN RECOGNITION 48.10(2015):3160-3168. |
入库方式： OAI收割
来源：自动化研究所
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