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Improved active shape model and its application to facial feature extraction

[+] Author Affiliations
Dejun Tang

Dalian Maritime University, School of Information, No. 1 Linghai Road, Dalian, LiaoNing 116024, China

Dalian Neusoft Institute of Information, Department of Computer Science and Technology, No. 8 Software Park Road, Dalian, LiaoNing 116023, China

Weishi Zhang

Dalian Maritime University, School of Information, No. 1 Linghai Road, Dalian, LiaoNing 116024, China

Xiaolu Qu

Dalian Engineering Consultation Center, No. 94 Shenyang Road, Dalian, LiaoNing 116023, China

Dongqing Zhang

Dalian Neusoft Institute of Information, Department of Computer Science and Technology, No. 8 Software Park Road, Dalian, LiaoNing 116023, China

J. Electron. Imaging. 22(3), 033023 (Aug 30, 2013). doi:10.1117/1.JEI.22.3.033023
History: Received February 27, 2013; Revised June 12, 2013; Accepted July 18, 2013
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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.

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© 2013 SPIE and IS&T

Citation

Dejun Tang ; Weishi Zhang ; Xiaolu Qu and Dongqing Zhang
"Improved active shape model and its application to facial feature extraction", J. Electron. Imaging. 22(3), 033023 (Aug 30, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.3.033023


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