30 August 2013 Improved active shape model and its application to facial feature extraction
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J. of Electronic Imaging, 22(3), 033023 (2013). doi: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.
© 2013 SPIE and IS&T
Dejun Tang, Weishi Zhang, Xiaolu Qu, Dongqing Zhang, "Improved active shape model and its application to facial feature extraction," Journal of Electronic Imaging 22(3), 033023 (30 August 2013). http://dx.doi.org/10.1117/1.JEI.22.3.033023
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KEYWORDS
Feature extraction

Data modeling

Statistical modeling

Databases

Performance modeling

Facial recognition systems

Shape analysis

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