Learning Race from Face: A Survey

• Published in: IEEE transactions on pattern analysis and machine intelligence Vol. 36; no. 12; pp. 2483 - 2509
• Main Authors: Fu, Siyao, He, Haibo, Hou, Zeng-Guang
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.12.2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Anthropometry - methods; Biometric Identification - methods; Categories; Computational modeling; Computer simulation; Computer vision; Continental Population Groups - classification; Cultural differences; Face - anatomy & histology; Face recognition; Feature extraction; Female; Humans; Image classification; Image color analysis; Image Processing, Computer-Assisted - methods; Intelligence; Learning; Machine Learning; Male; Mathematical models; Perception; Psychology; Race; computer vision; face recognition; data clustering; Race classification; face database; image categorization; machine learning

Faces convey a wealth of social signals, including race, expression, identity, age and gender, all of which have attracted increasing attention from multi-disciplinary research, such as psychology, neuroscience, computer science, to name a few. Gleaned from recent advances in computer vision, comput...