Description

Abstract

·       This paper presents a new database suitable for both 2-D and 3-D face recognition based on photometric stereo (PS): the Photo face database. The database is collected using a custom-made four-source PS device designed to enable data capture with minimal interaction necessary from the subjects.

·       An invaluable test bed for state-of-the-art recognition algorithms. The paper also presents experiments of various face recognition and verification algorithms using the albedo, surface normals, and recovered depth maps.

·       Finally, we have conducted experiments in order to demonstrate how different methods in the pipeline of PS (i.e., normal field computation and depth map reconstruction) affect recognition and verification performance.

·       These experiments help to 1) demonstrate the usefulness of PS, and our device in particular, for minimal-interaction face recognition, and 2) highlight the optimal reconstruction and recognition algorithms for use with natural-expression PS data.