3D face recognition based on 3D ridge lines in range data

Mohammad H. Mahoor, Mohamed Abdel-Mottaleb

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

13 Citations (Scopus)

Abstract

In this paper we present an approach for 3D face recognition from range data based on the principal curvature, kmax, and Hausdorff distance. We use the principal curvature, kmax, to represent the face image as a 3D binary image called ridge image. The ridge image shows the locations of the ridge lines around the important facial regions on the face (i.e. the eyes, the nose, and the mouth). We utilize Hausdorff distance to match the ridge image of a given probe to the created ridge images of the subjects in the gallery. For pose alignment, we extract the locations of three feature points, the inner corners of the two eyes and the tip of the nose using Gaussian curvature. These three feature points plus an auxiliary point in the center of the triangle, made by averaging the coordinates of the three feature points, are used for initial 3D face alignment. In the face recognition stage, we find the optimum pose alignment between the probe image and the gallery, which gives the minimum Hasusdorff distance between the two sets of features. This approach is used for identification of both neutral faces and faces with smile expression. Experiments on a public face database of 61 subjects resulted in 93.5% ranked one recognition rate for neutral expression and 82.0% for the faces with smile expression.

Original languageEnglish
Title of host publicationProceedings - International Conference on Image Processing, ICIP
Volume1
DOIs
StatePublished - Dec 1 2006
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: Sep 16 2007Sep 19 2007

Other

Other14th IEEE International Conference on Image Processing, ICIP 2007
CountryUnited States
CitySan Antonio, TX
Period9/16/079/19/07

Fingerprint

Face recognition
Binary images
Experiments

Keywords

  • 3D face recognition
  • Hausdorff distance
  • Range data
  • Ridge image

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Mahoor, M. H., & Abdel-Mottaleb, M. (2006). 3D face recognition based on 3D ridge lines in range data. In Proceedings - International Conference on Image Processing, ICIP (Vol. 1). [4378910] https://doi.org/10.1109/ICIP.2007.4378910

3D face recognition based on 3D ridge lines in range data. / Mahoor, Mohammad H.; Abdel-Mottaleb, Mohamed.

Proceedings - International Conference on Image Processing, ICIP. Vol. 1 2006. 4378910.

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

Mahoor, MH & Abdel-Mottaleb, M 2006, 3D face recognition based on 3D ridge lines in range data. in Proceedings - International Conference on Image Processing, ICIP. vol. 1, 4378910, 14th IEEE International Conference on Image Processing, ICIP 2007, San Antonio, TX, United States, 9/16/07. https://doi.org/10.1109/ICIP.2007.4378910
Mahoor MH, Abdel-Mottaleb M. 3D face recognition based on 3D ridge lines in range data. In Proceedings - International Conference on Image Processing, ICIP. Vol. 1. 2006. 4378910 https://doi.org/10.1109/ICIP.2007.4378910
Mahoor, Mohammad H. ; Abdel-Mottaleb, Mohamed. / 3D face recognition based on 3D ridge lines in range data. Proceedings - International Conference on Image Processing, ICIP. Vol. 1 2006.
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