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Facial reconstruction and alignment using photometric stereo and surface fitting

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

Authors

Abdul R. Farooq

Profile Image

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



Contributors

H Araujo
Editor

A M Mendon�a
Editor

A J Pinho
Editor

M I Torres
Editor

Abstract

This paper presents a novel 3D face shape capture device suitable for practical face recognition applications. A new surface fitting based face alignment algorithm is then presented to normalise the pose in preparation for recognition. The 3D data capture consists of a photometric stereo rig capable of acquiring four images, each with a different light source direction, in just 15ms. This high-speed data acquisition process allows all images to be taken without significant movement between images, a previously highly restrictive disadvantage of photometric stereo. The alignment algorithm is based on fitting bivariate polynomials to the reconstructed faces and calculating the pitch, roll and yaw from the resulting polynomial parameters. Successful experiments are performed on a range of faces and pose variations. © 2009 Springer Berlin Heidelberg.

Citation

Farooq, A. R., Atkinson, G., Smith, M., & Smith, L. (2009). Facial reconstruction and alignment using photometric stereo and surface fitting. Lecture Notes in Artificial Intelligence, 5524 LNCS, 88-95. https://doi.org/10.1007/978-3-642-02172-5_13

Journal Article Type Conference Paper
Publication Date Aug 20, 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Peer Reviewed Not Peer Reviewed
Volume 5524 LNCS
Pages 88-95
Series Title Lecture Notes in Computer Science
Series Number 5524
ISBN ;
DOI https://doi.org/10.1007/978-3-642-02172-5_13
Keywords facial reconstruction, alignment
Public URL https://uwe-repository.worktribe.com/output/1000581
Publisher URL http://dx.doi.org/10.1007/978-3-642-02172-5_13