Hands: a pattern theoretic study of biological shapes
Hands: a pattern theoretic study of biological shapes
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: Part II
A Stereo Machine for Video-Rate Dense Depth Mapping and Its New Applications
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
An Algorithm for Finding Nearest Neighbors
IEEE Transactions on Computers
Towards automatic visual obstacle avoidance
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
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The performance evaluation of a new approach to efficient disparity map computation for stereo vision is presented. Using Bayesian particle filtering to focus computationalexpenditure on image regions of primary importanceto a navigational task allows the robust computationof a depth map sufficiently dense for most navigationaltasks, while minimizing the computational load,and thus the resources, required. We show that a particle-guidedapproach allows the efficient construction of asparse disparity map which intelligently samples navigationallyrelevant scene information allowing real-timestereo computation on commodity hardware suitable fornavigational tasks.