Abstract
In this paper we show how to estimate facial surface reflectance properties (a slice of the BRDF and the albedo) in conjunction with facial shape from a single image. We show how an estimate of the surface reflectance function can be made by fitting a curve to the scattered and noisy reflectance samples provided by the estimated shape. We present a novel statistical face shape constraint which we term dasiamodel-based integrabilitypsila which we enforce on the field of surface normals. We iteratively interleave the two processes of estimating reflectance properties based on the current shape estimate and updating the shape estimate based on the current estimate of the reflectance function. We show that the method is capable of recovering accurate shape and reflectance information from single images using both synthetic and real world imagery.
Sign-in/Register to access full text options 
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.
