Point Cloud Library (PCL)
1.7.0
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00001 /** 00002 \addtogroup keypoints Module keypoints 00003 00004 \section secKeypointsPresentation Overview 00005 00006 The <b>pcl_keypoints</b> library contains implementations of two point cloud keypoint detection algorithms. 00007 Keypoints (also referred to as <a href="http://en.wikipedia.org/wiki/Interest_point_detection">interest points</a>) 00008 are points in an image or point cloud that are stable, distinctive, and can be identified using a well-defined 00009 detection criteron. Typically, the number of interest points in a point cloud will be much smaller than the total 00010 number of points in the cloud, and when used in combination with local feature descriptors at each keypoint, the 00011 keypoints and descriptors can be used to form a compact—yet descriptive—representation of the original 00012 data. 00013 00014 \section secKeypointsRequirements Requirements 00015 - \ref common "common" 00016 - \ref search "search" 00017 - \ref kdtree "kdtree" 00018 - \ref octree "octree" 00019 - \ref range_image "range_image" 00020 - \ref features "features" 00021 - \ref filters "filters" 00022 00023 */