Face Detection in Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finding Pose of Hand in Video Images: A Stereo-Based Approach
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Real-time recognition of activity using temporal templates
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Geodesic active regions and level set methods for motion estimation and tracking
Computer Vision and Image Understanding
Face detection using quantized skin color regions merging andwavelet packet analysis
IEEE Transactions on Multimedia
Hi-index | 0.00 |
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.