An efficiently method for recognizing 3D face based on constructed character

Author

ZengGang, Lin ; Yanning, Zhang ; Zhe, Guo

Author_Institution

Shaanxi Provincial Key Lab. of Speech & Image Inf. Process., Northwestern Polytech. Univ., Xi´´an, China

Volume

2

fYear

2010

fDate

16-18 April 2010

Abstract

In order to eliminate the effect of the facial expression, and also improve the accuracy of the three dimensional (3D) face recognition, a new 3D face recognition method is proposed in this paper. First, segmenting the key regions and curves which are free from the facial and fully characterize the face; second, resampling curves and regions to uniform the data precision; third, processing data to extract the feature; finally, matching the features of curves and regions to identify 3D face. The Experiment results in actual 3D face database demonstrate the availability and effectiveness of the presented method.

Keywords

face recognition; image matching; image sampling; image segmentation; 3D face recognition; constructed character; curves resampling; facial expression; feature matching; regions resampling; Algorithm design and analysis; Character recognition; Covariance matrix; Data mining; Face recognition; Feature extraction; Image recognition; Laboratories; Nose; Speech recognition; 3D Face Recognition; Coordinate Normalization; Fourier Transform; Resampling;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Technology (ICCET), 2010 2nd International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-6347-3

Type

conf

DOI

10.1109/ICCET.2010.5485513

Filename

5485513