1 May 2009 Locating facial features with an improved active shape model
Fei Yang, Jianbo Su
Author Affiliations +
Abstract
In traditional facial feature localization methods with active shape models, the explicit intensity characteristic of facial features is hardly employed to represent the local structures around them, since these susceptible intensity features are difficult to be extracted. In this work, a novel method is proposed to extract the intensity features based on the logarithmic total variation model. A simple scheme of incorporating the intensity information into the local appearance model is also proposed to validate the effectiveness of the intensity features in the facial feature localization task. Facial feature localization tests are conducted on a wide range of datasets. Experimental results demonstrate the reliability of the proposed method and indicate its superior location accuracy compared to the state of the art method.
©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)
Fei Yang and Jianbo Su "Locating facial features with an improved active shape model," Optical Engineering 48(5), 057202 (1 May 2009). https://doi.org/10.1117/1.3130212
Published: 1 May 2009
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Databases

Error analysis

RGB color model

Skin

Facial recognition systems

Feature extraction

Optical engineering

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