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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2001.12
- 수록면
- 641 - 648 (8page)
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초록· 키워드
오류제보하기
A face detection in color images is important for many multimedia applications. It is the first step for face recognition and can be used for classifying specific shots. This paper describes a new method to detect faces in color images based on the skin color and hair color. This paper presents a fuzzy-based method for classifying skin color region in a complex background under varying illumination.. The Fuzzy rule bases of the fuzzy system are generated using training method like a genetic algorithm(GA). We find the skin color region and hair color region using the fuzzy system and apply the convex-hull to each region and find the face from their intersection relationship. To validity the effectiveness of the proposed method, we make experiment with various cases.
목차
Abstract
1. Introduction
2. Skin Color Classification
3. Fuzzy Color Classifier (FCC)
4. Adaptive Fuzzy Color Classifier(AFCC)
5. Region extraction via convex hull
6. Experimental Result
7. Conclusion
Reference
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UCI(KEPA) : I410-ECN-0101-2009-028-014805677