Reconstructing 3D Facial Shape Using Spherical Harmonics

  • Authors:
  • Chengming Zou;Guanghui Zhao;Edwin R. Hancock

  • Affiliations:
  • School of Computer Science, Wuhan University of Technology, Wuhan, China 430070 and Department of Computer Science, The University of York, York, UK YO10 5DD;School of Computer Science, Wuhan University of Technology, Wuhan, China 430070;Department of Computer Science, The University of York, York, UK YO10 5DD

  • Venue:
  • ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

It is now well established that 3D facial shape can be effectively and conveniently reconstructed using spherical harmonics. This paper extends the state-of-the-art by showing how to recover a 3D facial shape reconstruction using a spherical parameterization and minimizing a Harmonic Energy based on spherical medians. The solution is formulated as a linear system and we propose an iterative residual fitting algorithm (LSQR-IRF) to solve it. We demonstrate the effectivenss of the method on range-data.