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Lip Contour Extraction Using Active Shape Model Based on Energy Minimization  

Jang, Kyung-Shik (동의대학교 멀티미디어공학과)
Abstract
In this paper, we propose an improved Active Shape Model for extracting lip contour. Lip deformation is modeled by a statistically deformable model based Active Shape Model. Because each point is moved independently using local profile information in Active Shape Model, many error may happen. To use a global information, we define an energy function similar to an energy function in Active Contour Model, and points are moved to positions at which the total energy is minimized. The experiments have been performed for many lip images of Tulip 1 database, and show that our method extracts lip shape than a traditional ASM more exactly.
Keywords
능동형태 모델;능동윤곽선 모델;입술 인식;주성분 분석법;
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