On the use of level curves in image analysis
CVGIP: Image Understanding
Probabilistic Visual Learning for Object Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Learning for View-Based Human Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
SNoW User Guide
Detection of Frontal Faces in Video Streams
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
Toward patient identification using chest CT scan
WBMA '03 Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications
ENCARA2: Real-time detection of multiple faces at different resolutions in video streams
Journal of Visual Communication and Image Representation
Multiple face detection at different resolutions for perceptual user interfaces
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
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Most face detection algorithms can be divided into two subproblems, initial visual guidance and face/non-face classification. In this paper we propose an evaluation protocol for face/non-face classification and provide experimental comparison of six algorithms. The overall best performing algorithms are the baseline template matching algorithms. Our results emphasize the importance of preprocessing.