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Distance based neighbor correlation for the segmentation | IEEE Conference Publication | IEEE Xplore

Distance based neighbor correlation for the segmentation


Abstract:

This paper introduces the segmentation of point cloud with the distance-based connectivity that is originated from the connectivity of local convexity criterion to enhanc...Show More

Abstract:

This paper introduces the segmentation of point cloud with the distance-based connectivity that is originated from the connectivity of local convexity criterion to enhance its accuracy and singularity [1]. The proposed feature is applied to calculate the weighted normal vector and to partition ground and objects respectively through integrating it with other features. The performances of segmentations with the introduced criterion are demonstrated with the labeled simulation data and the real data from 3D LIDAR compared to the original connectivity.
Date of Conference: 30 October 2013 - 02 November 2013
Date Added to IEEE Xplore: 02 December 2013
ISBN Information:
Conference Location: Jeju, Korea (South)

References

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