Enhanced active shape model for facial feature localization

Author

Zheng, Zhong-long ; Yang, Fan

Author_Institution

Dept. of Comput. Sci., Zhejiang Normal Univ., Jinhua

Volume

5

fYear

2008

fDate

12-15 July 2008

Firstpage

2841

Lastpage

2845

Abstract

The original Active Shape Model (ASM) has already been applied to the areas such as image segmentation, feature points localization, and contour extraction. However, the original ASM suffers from the loss of accuracy and low speed in real time applications. Due to this, a new scheme of Active Shape Model for facial feature extraction is proposed in this paper. In this scheme, the improvement of the the performance of the original ASM concerns the following three aspects. Firstly, the profile of the original ASM is extended from 1D to 2D. Secondly, each profile related to different features are constructed separately. Thirdly, the length of the profile varies with different levels. The simulations are carried out using the SJTU dataset, which contains 2273 face images. Experimental results demonstrate that the proposed scheme exhibits better performance than the original ASM.

Keywords

face recognition; feature extraction; image enhancement; image segmentation; SJTU dataset; contour extraction; enhanced active shape model; face images; facial feature extraction; facial feature localization; feature points localization; image segmentation; real time applications; Active shape model; Application software; Computer science; Cybernetics; Electronic mail; Face detection; Face recognition; Facial features; Image segmentation; Machine learning; Active shape model; Face recogntion; Facial feature localization;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4620892

Filename

4620892