Abstract
Abstract This research is motivated by the need for face recognition in uncontrolled environments. In other words, we are interested in face recognition arrangements whereby the users do not need to interact with the recognition technology. The contribution of this paper is to perform a range of recognition experiments on face image data as people casually enter a building, without any instructions about expression. Specifically, we capture four images per session in rapid succession (all within 20 ms). The four images are synchronised to different light sources to enable photometric stereo processing to estimate albedo images, surface normals and depth maps. Additional capture sessions then take place over periods of many weeks. Our recognition experiments are on each of the three modalities as well as a fusion technique for the albedo and depth. Using a variety of photometric stereo methods, surface integration methods (to recover depth) and recognition algorithms such as principal component analysis and nonnegative matrix factorisation, we acquire a maximum recognition rate of 86% for 96 subjects.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.