Improved active shape model and its application to facial feature extraction

Dejun Tang; Weishi Zhang; Xiaolu Qu; Dongqing Zhang

doi:10.1117/1.JEI.22.3.033023

30 August 2013 Improved active shape model and its application to facial feature extraction

Dejun Tang, Weishi Zhang, Xiaolu Qu, Dongqing Zhang

Author Affiliations +

Journal of Electronic Imaging, Vol. 22, Issue 3, 033023 (August 2013). https://doi.org/10.1117/1.JEI.22.3.033023

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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Dejun Tang, Weishi Zhang, Xiaolu Qu, and Dongqing Zhang "Improved active shape model and its application to facial feature extraction," Journal of Electronic Imaging 22(3), 033023 (30 August 2013). https://doi.org/10.1117/1.JEI.22.3.033023

Published: 30 August 2013

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