원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.8 No.11
2014.11
pp.25-40
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper describes a method of faces detection based on skin color, face shape and corner points. The skin regions are detected by the segmentation of image with a threshold calculated by a combination of rules proposed on elements of the three color spaces RGB, HSV and YCbCr. Next, the geometric constraints (surface, ratio, eccentricity) are applied to eliminate the skin regions detected that do not have a shape similar to a human face. Then the corner points of Harris are used to verify the existence of eyes in the regions detected. The results obtained are satisfactory in terms of the quality of detection and rapidity.
목차
Abstract
1. Introduction
2. Related Work
3. Our Method
3.1. Detection of Skin Regions
3.2. Removal of Regions having no Shape of Face
3.3. Eye Detection Through Harris Detector
4. Experimental Results
4.1. Simulation (Dataset): Performance, Evaluation and Discussion
4.2. Real Data
5. Conclusion
Acknowledgment
References
1. Introduction
2. Related Work
3. Our Method
3.1. Detection of Skin Regions
3.2. Removal of Regions having no Shape of Face
3.3. Eye Detection Through Harris Detector
4. Experimental Results
4.1. Simulation (Dataset): Performance, Evaluation and Discussion
4.2. Real Data
5. Conclusion
Acknowledgment
References
저자정보
참고문헌
자료제공 : 네이버학술정보