CASIA-Face-Africa: A Large-Scale African Face Image Database
文献类型：期刊论文
| 作者 | Muhammad, Jawad1,2; Wang, Yunlong1,2 ; Wang, Caiyong3,4; Zhang, Kunbo1,2; Sun, Zhenan1,2
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| 刊名 | IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
 |
| 出版日期 | 2021 |
| 卷号 | 16页码:3634-3646 |
| 关键词 | Face recognition Image databases Internet Cameras Image recognition Skin Face detection African face recognition racial bias face image database |
| ISSN号 | 1556-6013 |
| DOI | 10.1109/TIFS.2021.3080496 |
| 通讯作者 | Sun, Zhenan(znsun@nlpr.ia.ac.cn) |
| 英文摘要 | Face recognition is a popular and well-studied area with wide applications in our society. However, racial bias had been proven to be inherent in most State Of The Art (SOTA) face recognition systems. Many investigative studies on face recognition algorithms have reported higher false positive rates of African subjects cohorts than the other cohorts. Lack of large-scale African face image databases in public domain is one of the main restrictions in studying the racial bias problem of face recognition. To this end, we collect a face image database namely CASIA-Face-Africa which contains 38,546 images of 1,183 African subjects. Multi-spectral cameras are utilized to capture the face images under various illumination settings. Demographic attributes and facial expressions of the subjects are also carefully recorded. For landmark detection, each face image in the database is manually labeled with 68 facial keypoints. A group of evaluation protocols are constructed according to different applications, tasks, partitions and scenarios. The performances of SOTA face recognition algorithms without re-training are reported as baselines. The proposed database along with its face landmark annotations, evaluation protocols and preliminary results form a good benchmark to study the essential aspects of face biometrics for African subjects, especially face image preprocessing, face feature analysis and matching, facial expression recognition, sex/age estimation, ethnic classification, face image generation, etc. The database can be downloaded from our website. |
| WOS关键词 | EIGENFACES |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000670544600009 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.ia.ac.cn/handle/173211/45271]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Sun, Zhenan |
| 作者单位 | 1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Ctr Res Intelligent Percept & Comp, Beijing 100190, Peoples R China 3.Beijing Univ Civil Engn & Architecture, Sch Elect & Informat Engn, Beijing 100044, Peoples R China 4.Beijing Key Lab Intelligent Proc Bldg Big Dat, Beijing 100044, Peoples R China |
| 推荐引用方式 GB/T 7714 | Muhammad, Jawad,Wang, Yunlong,Wang, Caiyong,et al. CASIA-Face-Africa: A Large-Scale African Face Image Database[J]. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,2021,16:3634-3646. |
| APA | Muhammad, Jawad,Wang, Yunlong,Wang, Caiyong,Zhang, Kunbo,&Sun, Zhenan.(2021).CASIA-Face-Africa: A Large-Scale African Face Image Database.IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,16,3634-3646. |
| MLA | Muhammad, Jawad,et al."CASIA-Face-Africa: A Large-Scale African Face Image Database".IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 16(2021):3634-3646. |
入库方式： OAI收割
来源：自动化研究所
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