Real-time disparity computation and 3D reprojection for hand gesture recognition

Human hand gestures as a natural way of interaction and communicating with computers is becoming an emerging and demanding field of research due to its various applications like sign language recognition, human computer interaction, gaming, virtual reality etc. Hand gesture recognition under 2D environment has some limitations as the information about the other dimension (z-axis) is missed. So, hand gesture recognition under 3D environment is becoming a growing field of research. In this paper, we have implemented the realtime disparity computation and proposed a novel technique to detect gesture of Front and Back along with forward and backward movement towards and from the camera respectively. Our technique is based on stereo-vision and we have used the disparity map-based intensity measure of segmented hand and changing of its intensity as feature to classify and recognize the gesture. Stereo calibration followed by rectification is done to get the rectified images and correspondence gives the depth map. Finally three dimensional reprojection is performed. Our technique works well for the gestures and the results are promising.