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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Hand Gesture Recognition in Natural State Based on Rotation Invariance and OpenCV Realization
verfasst von : Baoyun Zhang, Ruwei Yun, Huaqing Qiu
Erschienen in: Entertainment for Education. Digital Techniques and Systems
Verlag: Springer Berlin Heidelberg
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Based on the discussion of traditional hand gesture recognition methods and their properties in current studies, analysis the color segmentation, density distribution feature and improved algorithm based on artificial markers in the hand gesture recognition. Then optimize and assembly this series of algorithms, and presented the hand gesture recognition method based on rotation invariance. This method overcomes the shortcomings that the single color models could not recognition complexion-liked area accurately. And this method can realize the multi-angle or posture changing hand gesture recognition in natural state. Using OpenCV which is pragmatic image processing software to design and realize the hand gesture recognition, and present the test results. The results show that the hand gesture recognition method based on rotation invariance has high veracity and real-timing.