87 lines
3.4 KiB
XML
87 lines
3.4 KiB
XML
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<!-- PCL IO library component -->
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<library path="lib/libpcl_ros_io">
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<class name="pcl/NodeletMUX" type="NodeletMUX" base_class_type="nodelet::Nodelet">
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<description>
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NodeletMUX represent a mux nodelet for PointCloud topics: it takes N (up
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to 8) input topics, and publishes all of them on one output topic.
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</description>
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</class>
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<class name="pcl/NodeletDEMUX" type="NodeletDEMUX" base_class_type="nodelet::Nodelet">
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<description>
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NodeletDEMUX represent a demux nodelet for PointCloud topics: it
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publishes 1 input topic to N output topics.
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</description>
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</class>
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<class name="pcl/PCDReader" type="PCDReader" base_class_type="nodelet::Nodelet">
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<description>
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PCDReader reads in a PCD (Point Cloud Data) v.5 file from disk and converts it to a PointCloud message.
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</description>
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</class>
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<class name="pcl/BAGReader" type="BAGReader" base_class_type="nodelet::Nodelet">
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<description>
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BAGReader reads in sensor_msgs/PointCloud2 messages from BAG files.
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</description>
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</class>
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<class name="pcl/PCDWriter" type="PCDWriter" base_class_type="nodelet::Nodelet">
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<description>
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PCDWriter writes a PointCloud message to disk in a PCD (Point Cloud Data) v.5 file format.
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</description>
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</class>
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<class name="pcl/PointCloudConcatenateFieldsSynchronizer" type="PointCloudConcatenateFieldsSynchronizer" base_class_type="nodelet::Nodelet">
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<description>
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PointCloudConcatenateFieldsSynchronizer is a special form of data synchronizer: it listens for a set of input PointCloud messages on the
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same topic, checks their timestamps, and concatenates their fields together into a single PointCloud output message.
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</description>
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</class>
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<class name="pcl/PointCloudConcatenateDataSynchronizer" type="PointCloudConcatenateDataSynchronizer" base_class_type="nodelet::Nodelet">
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<description>
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PointCloudConcatenateDataSynchronizer is a special form of data
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synchronizer: it listens for a set of input PointCloud messages on
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different topics, and concatenates them together into a single PointCloud
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output message.
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</description>
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</class>
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</library>
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<!-- PCL Filters library component -->
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<library path="lib/libpcl_ros_filters">
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<class name="pcl/PassThrough" type="PassThrough" base_class_type="nodelet::Nodelet">
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<description>
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PassThrough is a filter that uses the basic Filter class mechanisms for passing data around.
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</description>
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</class>
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<class name="pcl/VoxelGrid" type="VoxelGrid" base_class_type="nodelet::Nodelet">
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<description>
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VoxelGrid assembles a local 3D grid over a given PointCloud, and uses that to downsample the data.
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</description>
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</class>
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<class name="pcl/ProjectInliers" type="ProjectInliers" base_class_type="nodelet::Nodelet">
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<description>
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ProjectInliers uses a model and a set of inlier indices from a PointCloud to project them into a separate PointCloud.
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</description>
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</class>
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<class name="pcl/ExtractIndices" type="ExtractIndices" base_class_type="nodelet::Nodelet">
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<description>
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ExtractIndices extracts a set of indices from a PointCloud as a separate PointCloud.
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</description>
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</class>
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<class name="pcl/StatisticalOutlierRemoval" type="StatisticalOutlierRemoval" base_class_type="nodelet::Nodelet">
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<description>
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StatisticalOutlierRemoval uses point neighborhood statistics to filter outlier data.
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</description>
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</class>
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</library>
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