Face detection and authentication.
Date of Issue2003
School of Computer Engineering
Automatic human face detection has always been a critical part of systems that require user visual interactions, especially face recognition systems. It has drawn great attention in the field of computer vision and image processing. In this thesis, we present a fast and reliable face detection system using generalized symmetry map and Support Vector Machines to tackle the most difficult case in face detection, that is, detecting faces in a gray scale image without using color and/or motion information.
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Nanyang Technological University