Share Email Print

Journal of Electronic Imaging

Improved active shape model and its application to facial feature extraction
Author(s): Dejun Tang; Weishi Zhang; Xiaolu Qu; Dongqing Zhang
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Active shape model (ASM) is a statistically parametrical model. It is widely used for facial feature extraction in face images. An ASM method is proposed. First, intensity values used in original ASM cannot provide enough information for model searching, which is sensitive to lighting conditions and so on. So we use a measure which indicates the orientation of structure at each pixel instead of intensity value to represent image texture. In addition, a new method is adopted for building a local profile model, which makes full use of texture information around the landmarks. Experimental results show that the improved ASM can locate face features more accurately than other ASM methods, and our method is more robust to poses, expression, and illumination variations.

Paper Details

Date Published: 30 August 2013
PDF: 8 pages
J. Electron. Imag. 22(3) 033023 doi: 10.1117/1.JEI.22.3.033023
Published in: Journal of Electronic Imaging Volume 22, Issue 3
Show Author Affiliations
Dejun Tang, Dalian Maritime Univ. (China)
Weishi Zhang, Dalian Maritime Univ. (China)
Xiaolu Qu
Dongqing Zhang, Neusoft Corp. (China)

© SPIE. Terms of Use
Back to Top