A 3D Curve Grouping Methods and Its Application

This paper presents new improvements to point cloud segmentation on curve grouping techniques. The proposed method is based on the similarity conception. The developed approach groups the curves from the same objects into the same region well. The algorithm is simple and easy implemented in complex...

Full description

Saved in:

Bibliographic Details
Published in:	2009 International Conference on Environmental Science and Information Application Technology Vol. 2; pp. 676 - 679
Main Authors:	Baoshun Li, Lo Vui Hong, Qixin Cao, Lei Zhang, Lee, J.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-07-2009
Subjects:	Clouds Curve fitting curve grouping edge-based Feature extraction Image edge detection Image segmentation Intelligent systems Layout Mechanical engineering Paper technology pneumatic caisson point cloud segmentation Surface fitting
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	This paper presents new improvements to point cloud segmentation on curve grouping techniques. The proposed method is based on the similarity conception. The developed approach groups the curves from the same objects into the same region well. The algorithm is simple and easy implemented in complex real scenes. The algorithm was performed in a real application and the results proved the proposed algorithm is feasible and practical.
ISBN:	9780769536828 0769536824
DOI:	10.1109/ESIAT.2009.183