Research of Plane Extraction Methods Based on Region Growing

Plane extraction of point cloud data plays an important role in the three-dimensional scene reconstruction, while region growing algorithm which could separate the points with specific attributes is a typical method to deal with this kind of problem. In this paper, methods of plane extraction based...

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Bibliographic Details
Published in2016 International Conference on Virtual Reality and Visualization (ICVRV) pp. 298 - 303
Main Authors Xinyi Wang, Jun Xiao, Ying Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2016
Subjects
Algorithm design and analysis
Data mining
Feature extraction
Image reconstruction
Image segmentation
Plane Extraction
Point Cloud
Range Image
Region Growing
Rocks
Three-dimensional displays
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Summary:Plane extraction of point cloud data plays an important role in the three-dimensional scene reconstruction, while region growing algorithm which could separate the points with specific attributes is a typical method to deal with this kind of problem. In this paper, methods of plane extraction based on region growing algorithm are studied, and they are divided into four categories according to the different growing units. The characteristics of all kinds of methods are analyzed, and typical algorithms are tested and compared by experiments. Based on the experimental results, the problems of plane extraction based on region growing are summarized, and the development trends are examined.
DOI:10.1109/ICVRV.2016.56