Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast raster scan distance propagation on the discrete rectangular lattice
CVGIP: Image Understanding
Distance transforms: properties and machine vision applications
CVGIP: Graphical Models and Image Processing
The vector distance transform in two and three dimensions
CVGIP: Graphical Models and Image Processing
The Euclidean distance transform in arbitrary dimensions
Pattern Recognition Letters
Efficiently Locating Objects Using the Hausdorff Distance
International Journal of Computer Vision
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multidimensional Indexing for Recognizing Visual Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Locating objects using the Hausdorff distance
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Line feature-based recognition using Hausdorff distance
ISCV '95 Proceedings of the International Symposium on Computer Vision
Efficient Computation of the Minimum Hausdorff Distance for Visual Recognition
Efficient Computation of the Minimum Hausdorff Distance for Visual Recognition
Multi-resolution image registration using multi-class Hausdorff fraction
Pattern Recognition Letters
A Robust Line-Feature-Based Hausdorff Distance for Shape Matching
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Implementation techniques for geometric branch-and-bound matching methods
Computer Vision and Image Understanding
Shape matching of partially occluded curves invariant under projective transformation
Computer Vision and Image Understanding
Multi-resolution image registration using multi-class Hausdorff fraction
Integrated image and graphics technologies
Object recognition using wavelets, L-G graphs and synthesis of regions
Pattern Recognition
Curve matching for open 2D curves
Pattern Recognition Letters
Similarity Invariant Delaunay Graph Matching
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Image and Vision Computing
Polyline approach for approximating Hausdorff distance between planar free-form curves
Computer-Aided Design
Moving edge segment matching for the detection of moving object
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
A two-level matching scheme for speedy and accurate palmprint identification
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
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In this paper, a line-feature-based approach for model based recognition using a four-dimensional Hausdorff distance is proposed. This new approach reduces the problem of finding the rotation, scaling, and translation transformations between a model and an image to the problem of finding a single translation minimizing the Hausdorff distance between two sets of points in a four-dimensional space. The implementation of the proposed algorithm can be naturally extended to higher dimensional spaces to efficiently find correspondences between $n$-dimensional patterns. The method performance and sensitivity to segmentation problems are quantitatively characterized using an experimental protocol with simulated data. It is shown that the algorithm performs well, is robust to occlusion and outliers, and that it degrades nicely as the segmentation problems increase. Experiments with real images are also presented.