Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
Distance transforms: properties and machine vision applications
CVGIP: Graphical Models and Image Processing
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
International Journal of Computer Vision
Alignment by Maximization of Mutual Information
International Journal of Computer Vision
Efficiently Locating Objects Using the Hausdorff Distance
International Journal of Computer Vision
View-Based Recognition Using an Eigenspace Approximation to the Hausdorff Measure
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sequential Operations in Digital Picture Processing
Journal of the ACM (JACM)
Robustly estimating changes in image appearance
Computer Vision and Image Understanding - Special issue on robusst statistical techniques in image understanding
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Two-Dimensional Models to Interact with the Three-Dimensional World
Proceedings of the International NSF-ARPA Workshop on Object Representation in Computer Vision
Efficient Guaranteed Search for Gray-level Patterns
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Search space reduction in optical tracking
EGVE '03 Proceedings of the workshop on Virtual environments 2003
Visual terrain mapping for Mars exploration
Computer Vision and Image Understanding
A statistical approach to sparse multi-scale phase-based stereo
Pattern Recognition
A novel approach to image matching using convex layers
ISCGAV'06 Proceedings of the 6th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
A theoretical approach to the use of cyberinfrastructure in geographical analysis
International Journal of Geographical Information Science
Smoothing and thresholding in neuronal spike detection
Neurocomputing
Tracking non-rigid objects using probabilistic Hausdorff distance matching
Pattern Recognition
Wide-baseline stereo vision for terrain mapping
Machine Vision and Applications - Integrated Imaging and Vision Techniques for Industrial Inspection
A fast algorithm for template matching
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Object tracking with probabilistic hausdorff distance matching
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Real-time stereo vision on a reconfigurable system
SAMOS'05 Proceedings of the 5th international conference on Embedded Computer Systems: architectures, Modeling, and Simulation
Abnormal object detection by canonical scene-based contextual model
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
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Image matching applications such as tracking and stereo commonly use the sum-of-squared-difference (SSD) measure to determine the best match. However, this measure is sensitive to outliers and is not robust to template variations. Alternative measures have also been proposed that are more robust to these issues. We improve upon these using a probabilistic formulation for image matching in terms of maximum-likelihood estimation that can be used for both edge template matching and gray-level image matching. This formulation generalizes previous edge matching methods based on distance transforms. We apply the techniques to stereo matching and feature tracking. Uncertainty estimation techniques allow feature selection to be performed by choosing features that minimize the localization uncertainty.