Facial Reconstruction and Alignment Using Photometric Stereo and Surface Fitting

  • Gary A. Atkinson
  • Abdul R. Farooq
  • Melvyn L. Smith
  • Lyndon N. Smith
Conference paper

DOI: 10.1007/978-3-642-02172-5_13

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5524)
Cite this paper as:
Atkinson G.A., Farooq A.R., Smith M.L., Smith L.N. (2009) Facial Reconstruction and Alignment Using Photometric Stereo and Surface Fitting. In: Araujo H., Mendonça A.M., Pinho A.J., Torres M.I. (eds) Pattern Recognition and Image Analysis. IbPRIA 2009. Lecture Notes in Computer Science, vol 5524. Springer, Berlin, Heidelberg

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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Gary A. Atkinson
    • 1
  • Abdul R. Farooq
    • 1
  • Melvyn L. Smith
    • 1
  • Lyndon N. Smith
    • 1
  1. 1.University of West EnglandBristolUK

Personalised recommendations