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Hand shape recognition using distance transform and shape decomposition
- Choi, J.;
- Park, H.;
- Park, J.-I.
Citations
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22초록
Hand shape is a natural and human-friendly interface for human-computer interaction. This paper proposes a realtime and 2D vision-based hand shape recognition method. The method is robust to hand pose changes because the hand pose is neutralized after recognizing a hand pose using distance transform, principal component analysis (PCA), and histogram analysis. Also, the context-based recognition method using shape decomposition can effectively recognize tiny changes of fingers. The method worked at 44.8 fps and had a recognition rate of 83% on average in the experiment with 800 images including 5 hand shapes and 16 hand poses.
키워드
distance transform; Hand shape recognition; histograms; image decomposition; principal component analysis; Distance transforms; Hand shape; histograms; Image decomposition; Principal Components; Graphic methods; Human computer interaction; Image processing; Principal component analysis
- 제목
- Hand shape recognition using distance transform and shape decomposition
- 저자
- Choi, J.; Park, H.; Park, J.-I.
- 발행일
- 2011-09
- 유형
- Conference Paper
- 저널명
- Proceedings - International Conference on Image Processing, ICIP
- 페이지
- 3605 ~ 3608