Localization of human faces fusing color segmentation and depth from stereo

Abstract

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.