Facial reconstruction and alignment using photometric stereo and surface fitting

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

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.

• Presentation Conference Type: Conference Paper (published)
• 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
• Publisher: Springer Verlag
• Peer Reviewed: Not Peer Reviewed
• Volume: 5524 LNCS
• Pages: 88-95
• Series Title: Lecture Notes in Computer Science
• Series Number: 5524
• 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