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

Download the digital copy of the doc pdf document

Authors

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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..