Parametrized SOMs for Hand Posture Reconstruction
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4 - Volume 4
Using B-Spline Curves for Hand Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Task-based evaluation of skin detection for communication and perceptual interfaces
Journal of Visual Communication and Image Representation
Vision-Based Detection of Guitar Players' Fingertips Without Markers
CGIV '07 Proceedings of the Computer Graphics, Imaging and Visualisation
Real-time 3D Hand Shape Estimation based on Image Feature Analysis and Inverse Kinematics
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Visual recognition of continuous hand postures
IEEE Transactions on Neural Networks
Both Hands' Fingers' Angle Calculation from Live Video
International Journal of Computer Vision and Image Processing
Seeing double: reconstructing obscured typed input from repeated compromising reflections
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security
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We present a method to detect human fingertips from images captured by a stereo camera. The system makes use of the disparity information from a stereo camera to find candidates, and defines an evaluation process to detect two hands. The finger detector then processes each hand image to extract finger images. Finally, we perform geometric calculations on the results to relocate the positions of the fingertips. The proposed method is not complex; however, it shows exciting results in terms of run time and detection rates. The extraction result can be used in hand configuration modeling for gesture recognition in HCI systems.