Feature Point Extraction of Hand Region Using Vision

비젼을 이용한 손 영역 특징 점 추출

  • 정현석 (군산대학교 전자정보공학부) ;
  • 주영훈 (군산대학교 전자정보공학부)
  • Published : 2009.10.01

Abstract

In this paper, we propose the feature points extraction method of hand region using vision. To do this, first, we find the HCbCr color model by using HSI and YCbCr color model. Second, we extract the hand region by using the HCbCr color model and the fuzzy color filter. Third, we extract the exact hand region by applying labeling algorithm to extracted hand region. Fourth, after finding the center of gravity of extracted hand region, we obtain the first feature points by using Canny edge, chain code, and DP method. And then, we obtain the feature points of hand region by applying the convex hull method to the extracted first feature points. Finally, we demonstrate the effectiveness and feasibility of the proposed method through some experiments.

Keywords

References

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