@inproceedings{ee183b191cd944f0ad92bc21f5410c30,
title = "A novel feature point detection algorithm of unstructured 3D point cloud",
abstract = "Compared with 3D mesh data, unstructured point cloud data lack adjacency relationship between points, which only contain geometric coordinates and little information. This paper focuses on the research of characteristics of unstructured point cloud detection algorithm. We put forward the multiscale 3D Harris feature point detection algorithm, which uses iteration strategy to select the optimal Harris response value in multiple scales. Compared with the classical 3D Harris feature point detection algorithm for mesh data, our algorithm can fully use the local information of point cloud models to detect feature point on point cloud models. It is very robust to rotation transformation of point clouds and noise.",
keywords = "3D point cloud, Feature point detection, Harris, Multiscale, Unstructured",
author = "Bei Tian and Peilin Jiang and Xuetao Zhang and Yulong Zhang and Fei Wang",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 12th International Conference on Intelligent Computing Methodologies, ICIC 2016 ; Conference date: 02-08-2016 Through 05-08-2016",
year = "2016",
doi = "10.1007/978-3-319-42297-8\_68",
language = "英语",
isbn = "9783319422961",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "736--744",
editor = "Abir Hussain and Kyungsook Han and De-Shuang Huang",
booktitle = "Intelligent Computing Methodologies - 12th International Conference, ICIC 2016, Proceedings",
}