Robust hand gesture analysis and application in gallery browsing
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Hand posture recognition with multiview descriptors
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
Real-Time markerless hand gesture recognition with depth camera
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Real-time Hand Gesture Recognition from Depth Images Using Convex Shape Decomposition Method
Journal of Signal Processing Systems
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Hand gesture has been used as a natural and efficient way in human computer interaction. Due to independence of auxiliary input devices, vision-based hand interfaces is more favorable for users. However, the process of hand gesture recognition is very time consuming, which often brings much frustration to users. In this paper, we propose a fast feature detection and description approach which can significantly speed up hand gesture recognition. Firstly, integral image is used to approximate Gaussian derivatives to calculate image convolution in feature detection. Then multi-scale geometric descriptors at feature points are obtained to represent hand gestures. Finally gesture is recognized with its geometric configuration. Experiments show that the proposed method needs much less time consumption while obtains comparative performance with its counterpart in literatures.