Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic Vision: From Images to Face Recognition
Dynamic Vision: From Images to Face Recognition
Face Detection on Still Images Using HIT Maps
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Probabilistic visual learning for object detection
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Refining face tracking with integral projections
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Active contour and morphological filters for geometrical normalization of human face
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
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Integral projections can be used to model the visual appearance of human faces. In this way, model based detection is done by fitting the model into an unknown pattern. Thus, the key problem is the alignment of projection patterns with respect to a given model of generic face. We provide an algorithm to align a 1-D pattern to a model consisting of the mean pattern and its variance. Projection models can also be used in facial feature location, pose estimation, expression and person recognition. Some preliminary experimental results are presented.