3D face recognition by profile and surface matching

Author

Pan, Gang ; Wu, Yijun ; Wu, Zhaohui ; Liu, Wenyao

Author_Institution

Dept. of Comput. Sci. & Eng., Zhejiang Univ., China

Volume

3

fYear

2003

fDate

20-24 July 2003

Firstpage

2169

Abstract

In this paper, we presented an approach for automatic face verification from range data. The method consists of profile and surface matching. The profile is extracted on the basis of symmetry of human face, and a global profile matching method based on k-th Hausdorff distance is used to align and compare profiles, without detection of fiducial points that is often unreliable. For each individual, a statistical model of facial surface is built to represent the distinct discriminative capability of the different parts in the facial surface. Then the model is incorporated into a weighted distance function to measure similarity of surfaces. Finally two experts are combined to give a decision. The comparable experimental results are obtained on a database with 180 pieces of range data of 30 individuals.

Keywords

face recognition; image matching; object detection; 3D face recognition; Hausdorff distance; automatic face verification; distinct discriminative capability; facial surface model; fiducial points detection; profile matching method; range data; surface matching; weighted distance function; Computer science; Data engineering; Data mining; Degradation; Face detection; Face recognition; Humans; Image databases; Lighting; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2003. Proceedings of the International Joint Conference on

ISSN

1098-7576

Print_ISBN

0-7803-7898-9

Type

conf

DOI

10.1109/IJCNN.2003.1223744

Filename

1223744