Audio- and video-based biometric person authentication

https://ibug.doc.ic.ac.uk/media/uploads/documents/sandbach2012survey.pdf

Static and dynamic 3D facial expression recognition: A comprehensive survey

Face verification from 3D and grey level clues

This paper presents a new database suitable for both 2-D and 3-D face recognition based on photometric stereo (PS): the Photoface database. The database was collected using a custom-made four-source PS device designed to enable data capture with minimal interaction necessary from the subjects. The device, which automatically detects the presence of a subject using ultrasound, was placed at the entrance to a busy workplace and captured 1839 sessions of face images with natural pose and expression. This meant that the acquired data is more realistic for everyday use than existing databases and is, therefore, 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. The database can be downloaded from http://www.uwe.ac.uk/research/Photoface.

/pdf/face-recognition-and-verification-using-photometric-stereo-2su1pc05i1.pdf

Face Recognition and Verification Using Photometric Stereo: The Photoface Database and a Comprehensive Evaluation

This paper describes the developments of the RMA/SIC department in 3D face recognition and situates them in the research activities in this field. 3D face recognition appears as a promising approach for biometric person identification, bringing robust and specific features, with easy face detection from depth and quite difficult faking possibilities. The successful development of a prototype for real-time automatic profile identification by the SIC led us to the more complete geometrical analysis of facial surfaces. Several versions of cost effective and fast 3D acquisition systems have been realized to capture facial surfaces. Two databases were created and used to make recognition experiments by matching facial surfaces through planar profile comparison. Our developments and other works confirm that a face recognition system should integrate 3D capabilities to exploit the complementarity of robust geometrical features and normalized grey-level cues.

3D Face Recognition

This paper presents a multi-modal database intended for person authentication from multiple cues. It currently contains three sessions of the same 120 individuals, providing profile and frontal color images, 3D facial representations and many French and some English speech utterances. People were selected for their availability so that new sessions will be easily acquired. Individual recognition performances for speech, profile and 3D facial surface modalities are presented. The combination of these experts is the subject of current research.

C. Beumier

Papers

SIC DB: multi-modal database for person authentication