Face Detection in Color Images

Authors:
Andrew Senior;Rein-Lien Hsu;Mohamed Abdel Mottaleb;Anil K. Jain
Affiliations:
Watson Research Center, Yorktown Heights, New York;Michigan State Univ., East Lansing, MI;Univ., of Miami, Coral Gables, FL;-
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
2002

Citing 25
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Abstract

Human face detection plays an important role in applications such as video surveillance, human computer interface, face recognition, and face image database management. We propose a face detection algorithm for color images in the presence of varying lighting conditions as well as complex backgrounds. Based on a novel lighting compensation technique and a nonlinear color transformation, our method detects skin regions over the entire image and then generates face candidates based on the spatial arrangement of these skin patches. The algorithm constructs eye, mouth, and boundary maps for verifying each face candidate. Experimental results demonstrate successful face detection over a wide range of facial variations in color, position, scale, orientation, 3D pose, and expression in images from several photo collections (both indoors and outdoors).