38 lines
1.8 KiB
XML
38 lines
1.8 KiB
XML
<!-- PCL Segmentation library component -->
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<library path="lib/libpcl_ros_segmentation">
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<class name="pcl/ExtractPolygonalPrismData" type="ExtractPolygonalPrismData" base_class_type="nodelet::Nodelet">
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<description>
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ExtractPolygonalPrismData uses a set of point indices that represent a planar model, and together with a given
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height, generates a 3D polygonal prism. The polygonal prism is then used to segment all points lying inside it.
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</description>
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</class>
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<class name="pcl/EuclideanClusterExtraction" type="EuclideanClusterExtraction" base_class_type="nodelet::Nodelet">
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<description>
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EuclideanClusterExtraction represents a segmentation class for cluster extraction in an Euclidean sense.
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</description>
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</class>
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<class name="pcl/SACSegmentationFromNormals" type="SACSegmentationFromNormals" base_class_type="nodelet::Nodelet">
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<description>
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SACSegmentation represents the Nodelet segmentation class for Sample Consensus methods and models, in the sense that
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it just creates a Nodelet wrapper for generic-purpose SAC-based segmentation.
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</description>
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</class>
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<class name="pcl/SACSegmentation" type="SACSegmentation" base_class_type="nodelet::Nodelet">
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<description>
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SACSegmentation represents the Nodelet segmentation class for Sample Consensus methods and models, in the sense that
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it just creates a Nodelet wrapper for generic-purpose SAC-based segmentation.
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</description>
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</class>
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<class name="pcl/SegmentDifferences" type="SegmentDifferences" base_class_type="nodelet::Nodelet">
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<description>
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SegmentDifferences obtains the difference between two spatially aligned point clouds and returns the
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difference between them for a maximum given distance threshold.
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</description>
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</class>
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</library>
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