Model-based image matching using location
Model-based image matching using location
Stereo vision for planetary rovers: stochastic modeling to near real-time implementation
International Journal of Computer Vision
Curve based stereo matching using the minimum Hausdorff distance
Proceedings of the twelfth annual symposium on Computational geometry
Polynomial-Time Geometric Matching for Object Recognition
International Journal of Computer Vision
Statistical Approaches to Feature-Based Object Recognition
International Journal of Computer Vision
Sequential Operations in Digital Picture Processing
Journal of the ACM (JACM)
Efficient Visual Recognition Using the Hausdorff Distance
Efficient Visual Recognition Using the Hausdorff Distance
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Measuring the Quality of Hypotheses in Model-Based Recognition
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Robust Occluding Contour Detection Using the Hausdorff Distance
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Video Browsing Using Edges and Motion
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Automatic target recognition by matching oriented edge pixels
IEEE Transactions on Image Processing
Partially Occluded Object Recognition Using Statistical Models
International Journal of Computer Vision
Implementation techniques for geometric branch-and-bound matching methods
Computer Vision and Image Understanding
A new robust circular Gabor based object matching by using weighted Hausdorff distance
Pattern Recognition Letters
Vision-Based Augmented Reality for Pilot Guidance in Airport Runways and Taxiways
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
A Bayesian, Exemplar-Based Approach to Hierarchical Shape Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Abnormal Behavior Recognition Using Self-Adaptive Hidden Markov Models
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Learning dynamics for exemplar-based gesture recognition
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Monte carlo evaluation of the hausdorff distance for shape matching
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Shape matching using a binary search tree structure of weak classifiers
Pattern Recognition
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Matching images based on a Hausdorff measure has become popular for computer vision applications. However, no probabilistic model has been used in these applications. This limits the formal treatment of several issues, such as feature uncertainties and prior knowledge. In this paper, we develop a probabilistic formulation of image matching in terms of maximum likelihood estimation that generalizes a version of Hausdorff matching. This formulation yields several benefits with respect to previous Hausdorff matching formulations. In addition, we show that the optimal model position in a discretized pose space can be located efficiently in this formation and we apply these techniques to a mobile robot self-localization problem.