A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient binary space partitions for hidden-surface removal and solid modeling
Discrete & Computational Geometry - Selected papers from the fifth annual ACM symposium on computational geometry, Saarbrücken, Germany, June 5-11, 1989
Camera Calibration with Distortion Models and Accuracy Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing Occlusion-Free Viewpoints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Occlusion Culling Using Minimum Occluder Set and Opacity Map
IV '99 Proceedings of the 1999 International Conference on Information Visualisation
Automatic grasp planning for visual-servo controlled roboticmanipulators
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper proposes an algorithm for managing redundant measurements provided by a stereo multi-camera system to achieve accurate visual tracking of a moving object. Self-occlusion, different visual resolution zones and optimal selection of redundant measurements are some of the problems addressed. The algorithm uses the extended Kalman filter embedded in a computational efficient pose estimation procedure based on Binary Space Partitioning Tree geometric modelling of 3D objects. Experimental results are presented for the case of an object moving in the visual space of two fixed cameras.