Title :
Locating faces using statistical feature detectors
Author :
Cootes, T.F. ; Taylor, C.J.
Author_Institution :
Dept. of Med. Biophys., Manchester Univ., UK
Abstract :
We describe a method of locating hypotheses for the positions of faces in an image. We use statistical feature detectors to locate candidates for features, then use a statistical model of the shape and orientation of the features to test combinations of such features to find the most plausible. The best sets can be used as the initial position of an Active Shape Model, which can then accurately locate the full face
Keywords :
face recognition; image recognition; statistical analysis; Active Shape Model; face location; faces; features; full face; statistical feature detectors; Computer vision; Deformable models; Detectors; Eyes; Face detection; Filters; Layout; Mouth; Shape; Testing;
Conference_Titel :
Automatic Face and Gesture Recognition, 1996., Proceedings of the Second International Conference on
Conference_Location :
Killington, VT
Print_ISBN :
0-8186-7713-9
DOI :
10.1109/AFGR.1996.557265
