Image synthesis and face recognition based on 3D face model and illumination model

Dang Hui Liu, Lan Sun Shen, Kin Man Lam

Research output: Journal article publicationConference articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

The performance of human face recognition algorithms is seriously affected by two important factors: head pose and lighting condition. The effective processing of the pose and illumination variations is a vital key for improving the recognition rate. This paper proposes a novel method that can synthesize images with different head poses and lighting conditions by using a modified 3D CANDIDE model, linear vertex interpolation and NURBS curve surface fitting method, as well as a mixed illumination model. A specific Eigenface method is also proposed to perform face recognition based on a pre-estimated head pose method. Experimental results show that the quality of the synthesized images and the recognition performance are good.
Original languageEnglish
Pages (from-to)7-11
Number of pages5
JournalLecture Notes in Computer Science
Volume3611
Issue numberPART II
Publication statusPublished - 24 Oct 2005
EventFirst International Conference on Natural Computation, ICNC 2005 - Changsha, China
Duration: 27 Aug 200529 Aug 2005

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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