Three-dimensional object recognition from single two-dimensional images
Artificial Intelligence
Model-based object pose in 25 lines of code
International Journal of Computer Vision - Special issue: image understanding research at the University of Maryland
Camera calibration without feature extraction
Computer Vision and Image Understanding
Recent Advances in Augmented Reality
IEEE Computer Graphics and Applications
Model Tracking for Video-Based Virtual Reality
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
A Nondeterministic Minimization Algorithm
A Nondeterministic Minimization Algorithm
Providing synthetic views for teleoperation using visual pose tracking in multiple cameras
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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In this paper we present a technique for tracking complex models in video sequences with multiple cameras. Our method uses information derived from image gradient by comparing them with edges of the tracked object, whose 3D model is known. A score function is defined, depending on the amount of image gradient "seen" by the model edges. The sought pose parameters are obtained by maximizing this function using a non deterministic algorithm which proved to be optimal for this problem. Preliminary experiments with both synthetic and real sequences have shown small errors in pose estimations and a good behavior in augmented reality applications.