Mutual Component Analysis for Heterogeneous Face Recognition
文献类型：期刊论文
| 作者 | Li, Zhifeng; Gong, Dihong; Li, Qiang; Tao, Dacheng; Li, Xuelong |
| 刊名 | ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
 |
| 出版日期 | 2016 |
| 英文摘要 | Heterogeneous face recognition, also known as cross-modality face recognition or intermodality facerecognition, refers to matching two face images from alternative image modalities. Since face images from different image modalities of the same person are associated with the same face object, there should bemutual components that reflect those intrinsic face characteristics that are invariant to the image modalities. Motivated by this rationality, we propose a novel approach called Mutual Component Analysis (MCA) to infer the mutual components for robust heterogeneous face recognition. In the MCA approach, a generative model is first proposed to model the process of generating face images in different modalities, and then an Expectation Maximization (EM) algorithm is designed to iteratively learn the model parameters. The learned generative model is able to infer the mutual components (which we call the hidden factor, where hidden means the factor is unreachable and invisible, and can only be inferred from observations) that are associated with the person's identity, thus enabling fast and effective matching for cross-modality facerecognition. To enhance recognition performance, we propose an MCA-based multiclassifier framework using multiple local features. Experimental results show that our new approach significantly outperforms the state-of-the-art results on two typical application scenarios: sketch-to-photo and infrared-to-visible facerecognition. |
| 收录类别 | SCI |
| 原文出处 | http://www.cise.ufl.edu/~dihong/assets/TIST-2014-10-0214.R2.pdf |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/9797]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY |
| 推荐引用方式 GB/T 7714 | Li, Zhifeng,Gong, Dihong,Li, Qiang,et al. Mutual Component Analysis for Heterogeneous Face Recognition[J]. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY,2016. |
| APA | Li, Zhifeng,Gong, Dihong,Li, Qiang,Tao, Dacheng,&Li, Xuelong.(2016).Mutual Component Analysis for Heterogeneous Face Recognition.ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY. |
| MLA | Li, Zhifeng,et al."Mutual Component Analysis for Heterogeneous Face Recognition".ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2016). |
入库方式： OAI收割
来源：深圳先进技术研究院
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