Publication
Finding faces in color images through primitive shape features
Conference Article
Conference
Computer Vision: Advances in Research & Development (CVCRD)
Edition
2nd
Pages
1-6
Doc link
http://iselab.cvc.uab.es/descargas/viewpdf.php?id=Alhaj2007c
File
Authors
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Al Haj, Murad
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Orozco, Francisco Javier
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Amato, Ariel
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Roca i Marva, Francesc Xavier
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Gonzàlez Sabaté, Jordi
Projects associated
Abstract
Face detection is a primary step in many applications such as face recognition, video surveillance, human computer interface, and expression recognition. Many existing detection techniques suffer under scale variation, pose variation (frontal vs. profile), illumination changes, and complex backgrounds. In this paper, we present a robust and efficient method for face detection in color images. Skin color segmentation and edge detection are employed to separate all non-face regions from the candidate faces. Primitive shape features are then used to decide which of the candidate regions actually correspond to a face. The advantage of this method is its ability to achieve a high detection rate under varying conditions (pose, scale,...) with low computational cost.
Categories
computer vision.
Author keywords
face detection, facial features, skin color
Scientific reference
M. Al Haj, F.J. Orozco, A. Amato, F. Xavier Roca and J. Gonzàlez. Finding faces in color images through primitive shape features, 2nd Computer Vision: Advances in Research & Development, 2007, Bellaterra, Espanya, pp. 1-6, s. n..
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