Abstract
In this paper, the authors describe an automatic system for the identification of human faces. In this system, the fiber grating vision sensor which has been developed by the authors is employed for the 3-D shape of the faces. To identify human faces, a multi-layered neural network is used in which the inputs are two component values of normal vector at data spot on the surface of human faces. The experiments using the developed system is performed to demonstrate the efficacy of this system and the experimental results are shown.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
