Publication
Localization of human faces fusing color segmentation and depth from stereo
Conference Article
Conference
IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Edition
8th
Pages
527-535
Doc link
http://dx.doi.org/10.1109/ETFA.2001.997729
File
Abstract
This paper describes a method to localize faces in color images based on the fusion of the information gathered from a stereo vision system and the analysis of color images. Our method generates a depth map of the scene and tries to fit a head model taking into account the shape of the model and skin color information. The method is tailored for its use in factory automation applications where the detection and localization of humans is necessary for the completion or interruption of a particular task,
such as robot manipulator safety or the interaction of service robots with humans.
Categories
computer vision, object detection.
Author keywords
face detection, stereovision, color histograms, human detection, face localization
Scientific reference
F. Moreno-Noguer, J. Andrade-Cetto and A. Sanfeliu. Localization of human faces fusing color segmentation and depth from stereo, 8th IEEE International Conference on Emerging Technologies and Factory Automation, 2001, Antibes-Juan les Pins, França, pp. 527-535, IEEE.
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