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Locating objects using the Hausdorff distance
Proceedings of IEEE International Conference on Computer Vision, 2002The Hausdorff distance is a measure defined between two point sets representing a model and an image. In the past, it has been used to search images for instances of a model that has been translated or translated and scaled by finding transformations that bring a large number of model features close to image features, and vice versa.
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Hausdorff Distance with k-Nearest Neighbors
2012Hausdorff distance (HD) is an useful measurement to determine the extent to which one shape is similar to another, which is one of the most important problems in pattern recognition, computer vision and image analysis. Howeverm, HD is sensitive to outliers. Many researchers proposed modifications of HD.
Jun Wang 0002, Ying Tan 0002
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Hausdorff distance and convexity
2017The goal of this thesis is to discuss the Hausdorff Distance and prove that the metric space SX , which is the set of compact subsets of X = R n with the hausdorff distance is a complete metric space. In the first part, we discuss open r-neighborhoods and convexity.
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Hausdorff distance and Hausdorff uniformity
1977Charles Castaing, Michel Valadier
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Hausdorff vs Gromov–Hausdorff Distances
Discrete & Computational GeometryHenry Adams +3 more
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Computing the Hausdorff distance between two B-spline curves
CAD Computer Aided Design, 2010Xiao-Diao Chen, Weiyin Ma, Gang Xu
exaly