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KMID : 1146720150020010007
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국제컴퓨터가상수술학회 학술지
2015 Volume.2 No. 1 p.7 ~ p.9
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Facial Feature Extraction with Its Applications
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Lee Min-Kyu
Lee Sang-Youn
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Abstract
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Purpose: In the many face-related application such as head pose estimation, 3D face modeling, facial appearance manipulation, the robust and fast facial feature extraction is necessary. We present the facial feature extraction method based on shape regression and feature selection for real-time facial feature extraction.
Materials and Methods: The facial features are initialized by statistical shape model and then the shape of facial features are deformed iteratively according to the texture pattern which is selected on the feature pool.
Results: We obtain fast and robust facial feature extraction result with error less than 4% and processing time less than 12 ms. The alignment error is measured by average of ratio of pixel difference to inter-ocular distance.
Conclusion: The accuracy and processing time of the method is enough to apply facial feature based application and can be used on the face beautification or 3D face modeling.
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KEYWORD
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Facial Feature Extraction, Shape Regression, Feature Selection, Statistical Face Model
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