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PAMI
2002

Detecting Faces in Images: A Survey

8 years 9 months ago
Detecting Faces in Images: A Survey
Images containing faces are essential to intelligent vision-based human computer interaction, and research efforts in face processing include face recognition, face tracking, pose estimation, and expression recognition. However, many reported methods assume that the faces in an image or an image sequence have been identified and localized. To build fully automated systems that analyze the information contained in face images, robust and efficient face detection algorithms are required. Given a single image, the goal of face detection is to identify all image regions which contain a face regardless of its three-dimensional position, orientation, and lighting conditions. Such a problem is challenging because faces are nonrigid and have a high degree of variability in size, shape, color, and texture. Numerous techniques have been developed to detect faces in a single image, and the purpose of this paper is to categorize and evaluate these algorithms. We also discuss relevant issues such a...
Ming-Hsuan Yang, David J. Kriegman, Narendra Ahuja
Added 23 Dec 2010
Updated 23 Dec 2010
Type Journal
Year 2002
Where PAMI
Authors Ming-Hsuan Yang, David J. Kriegman, Narendra Ahuja
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