Interface | Description |
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Clustering |
Interface defining methods for clustering of point clouds
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Median |
Interface defining methods for computing point medians
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RangeSearch<X extends Jcg.geometry.Point_> |
Define methods for range search queries
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Class | Description |
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Cluster<X extends Jcg.geometry.Point_d> |
This class describes how points are associated to a cluster (throw hashing tables)
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CoordinateComparator<X extends Jcg.geometry.Point_> |
Class allowing to compare two points according to a given coordinate
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Draw |
Methods for visualizing (colored and/or clustered) point clouds in 2D and 3D
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FastRangeSearch<X extends Jcg.geometry.Point_> |
Class providing fast range search (using Kd-trees)
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ImageManipulation |
Class providing methods for conversion between point clouds and pixels
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IO |
Class providing methods for reading data (point clouds, images, ...) from file
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KdTree<X extends Jcg.geometry.Point_> |
A class implementing a Kd-tree data structure
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LinearTimeMedian |
Implementation of the linear time algorithm for computing medians
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MeanShiftClustering |
This class contains the main methods implementing the Mean-Shift clustering
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MedianWithSorting |
Computation of the median (via array sorting)
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PointCloud |
Class representing a point cloud (as a linked list)
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SlowRangeSearch<X extends Jcg.geometry.Point_> | |
TestImageSegmentation | |
TestIO |
Testing input/output operations on data and image files
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TestKdTree |
This class contains methods for testing the Kd-tree data structure
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TestMeanShift |
This class contains methods for testing the Mean-Shift clustering
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TestMedian |
This class contains methods for testing the Kd-tree data structure
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TestPointCloud |
Class for testing randomly generated point clouds
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TestRangeSearch |
Class for testing and benchmarking range search methods
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