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Facial geometry estimation using photometric stereo and profile views

Atkinson, Gary; Smith, Melvyn; Smith, Lyndon; Farooq, Abdul

Authors

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Melvyn Smith Melvyn.Smith@uwe.ac.uk
Research Centre Director Vision Lab/Prof

Lyndon Smith Lyndon.Smith@uwe.ac.uk
Professor in Computer Simulation and Machine

Abdul Farooq Abdul2.Farooq@uwe.ac.uk
Associate Director (Human-Centric Robotics)



Abstract

This paper presents a novel method for estimating the three-dimensional shape of faces, facilitating the possibility of enhanced face recognition. The method involves a combined use of photometric stereo and profile view information. It can be divided into three principal stages: (1) An initial estimate of the face is obtained using four-source high-speed photometric stereo. (2) The profile is determined from a side-view camera. (3) The facial shape estimation is iteratively refined using the profile until an energy functional is minimised. This final stage, which is the most important contribution of the paper, works by continually deforming the shape estimate so that its profile is exact. An energy is then calculated based on the difference between the raw images and synthetic images generated using the new shape estimate. The surface normals are then adjusted according to energy until convergence. Several real face reconstructions are presented and compared to ground truth. The results clearly demonstrate a significant improvement in accuracy compared to standard photometric stereo. © Springer-Verlag Berlin Heidelberg 2009.

Citation

Atkinson, G., Smith, M., Smith, L., & Farooq, A. (2009). Facial geometry estimation using photometric stereo and profile views. Lecture Notes in Artificial Intelligence, 5558 LNCS, 1-11. https://doi.org/10.1007/978-3-642-01793-3_1

Journal Article Type Conference Paper
Conference Name International Conference on Biometrics
Conference Location Alghero, Italy
Start Date Jun 1, 2009
End Date Jun 1, 2009
Publication Date Sep 14, 2009
Journal Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Print ISSN 0302-9743
Electronic ISSN 1611-3349
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 5558 LNCS
Pages 1-11
ISBN ;
DOI https://doi.org/10.1007/978-3-642-01793-3_1
Keywords facial geometry estimation
Public URL https://uwe-repository.worktribe.com/output/995254
Publisher URL http://dx.doi.org/10.1007/978-3-642-01793-3_1