A hierarchical multiscale and multiangle system for human face detection in a complex background using gravity-center template

摘要

This paper presents a novel faster search scheme of gravity-center template matching compared with the traditional search method in an image for human face detection, which significantly saves the time consumed in rough detection of human faces in a mosaic image. Besides, the system is able to detect rather slanted faces (−25°∼25°) and faces with much horizontal rotating angles (−45°∼45°) and vertical rotating angles (−30°∼30°), which are in various sizes and at unknown locations in an unconstrained background. A specially defined recognition rate of 86.7% has been reached for such faces.