Normalized 3D to 2D model-based facial image synthesis for 2D model-based face recognition

A. Nasser Ansari, Mohammad H. Mahoor, Mohamed Abdel-Mottaleb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

In our previous research [13], we created a database of 3D textured face models of people using stereo images and a generic face mesh model for 3D face recognition application. Consequently, in this paper we make use of this available database and propose an algorithm for synthesizing multiple view 2D facial images of each subject, which extends the number of images used in the training stage of a 2D face recognition system. The main contributions of our work are: a) proposing a novel 3D model-based face pose and scale normalizations before creating the synthesized 2D database from its 3D counterpart and b) proposing a model-based facial area segmentation and normalization to a given 2D probe facial image. Recognition experiments, using near frontal probe facial images and the extended synthesized database, demonstrate improved 2D recognition rate.

Original languageEnglish (US)
Title of host publication2011 IEEE GCC Conference and Exhibition, GCC
Pages178-181
Number of pages4
DOIs
StatePublished - Jun 9 2011
Event2011 IEEE GCC Conference and Exhibition, GCC 2011 - Dubai, United Arab Emirates
Duration: Feb 19 2011Feb 22 2011

Publication series

Name2011 IEEE GCC Conference and Exhibition, GCC 2011

Other

Other2011 IEEE GCC Conference and Exhibition, GCC 2011
CountryUnited Arab Emirates
CityDubai
Period2/19/112/22/11

Keywords

  • Face analysis
  • face normalization
  • face pose
  • face recognition
  • face synthesis

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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