Iterative pose estimation using coplanar feature points
Computer Vision and Image Understanding
Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-stage combination of geometric and colorimetric detectors for eyes localization
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
A Real Time Fingers Detection by Symmetry Transform Using a Two Cameras System
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
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This article deals with a monocular vision system for grasping gesture acquisition. This system could be used for medical diagnostic, robot or game control. We describe a new algorithm, the Chinese Transform, for the segmentation and localization of the fingers. This approach is inspired in the Hough Transform utilizing the position and the orientation of the gradient from the image edge’s pixels. Kalman filters are used for gesture tracking. We presents some results obtained from images sequence recording a grasping gesture. These results are in accordance with medical experiments.