Learning the Spherical Harmonic Features for 3-D Face Recognition
Work
Year: 2012
Type: article
Abstract: In this paper, a competitive method for 3-D face recognition (FR) using spherical harmonic features (SHF) is proposed. With this solution, 3-D face models are characterized by the energies contained i... more
Institutions State Key Laboratory of Virtual Reality Technology and Systems, Beijing Information Science & Technology University
Cites: 58
Cited by: 67
Related to: 10
FWCI: 7.674
Citation percentile (by year/subfield): 97.4
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green