3D fingertip and palm tracking in depth image sequences
Proceedings of the 20th ACM international conference on Multimedia
Real-time hand pose estimation using classifiers
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Both Hands' Fingers' Angle Calculation from Live Video
International Journal of Computer Vision and Image Processing
Finger controller: natural user interaction using finger gestures
HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: interaction modalities and techniques - Volume Part IV
Journal of Visual Communication and Image Representation
Hi-index | 0.00 |
Hand Gesture is a popular way to interact or control machines and it has been implemented in many applications. The geometry of hand is such that it is hard to construct in virtual environment and control the joints but the functionality and DOF encourage researchers to make a hand like instrument. This paper presents a novel method for fingertips detection and centres of palms detection distinctly for both hands using MS KINECT in 3D from the input image. KINECT facilitates us by providing the depth information of foreground objects. The hands were segmented using the depth vector and centres of palms were detected using distance transformation on inverse image. This result would be used to feed the inputs to the robotic hands to emulate human hands operation.