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/**
\addtogroup keypoints Module keypoints
\section secKeypointsPresentation Overview
The <b>pcl_keypoints</b> library contains implementations of two point cloud keypoint detection algorithms.
Keypoints (also referred to as <a href="http://en.wikipedia.org/wiki/Interest_point_detection">interest points</a>)
are points in an image or point cloud that are stable, distinctive, and can be identified using a well-defined
detection criterion. Typically, the number of interest points in a point cloud will be much smaller than the total
number of points in the cloud, and when used in combination with local feature descriptors at each keypoint, the
keypoints and descriptors can be used to form a compact—yet descriptive—representation of the original
data.
\section secKeypointsRequirements Requirements
- \ref common "common"
- \ref search "search"
- \ref kdtree "kdtree"
- \ref octree "octree"
- \ref pcl::RangeImage "range_image"
- \ref features "features"
- \ref filters "filters"
*/
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