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Ji-Chun Hou

dblp:133/2736 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Geometric modeling and processing · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › feature recognition
cylinder detection
0.212013
Cylinder Detection in Large-Scale Point Cloud of Pipeline Plant · IEEE Trans. Vis. Comput. Graph. 2013
Geometric modeling and processing
point cloud processing
0.212013
Cylinder Detection in Large-Scale Point Cloud of Pipeline Plant · IEEE Trans. Vis. Comput. Graph. 2013
Geometric modeling and processing
structural feature extraction
0.212013
Cylinder Detection in Large-Scale Point Cloud of Pipeline Plant · IEEE Trans. Vis. Comput. Graph. 2013

Methods — techniques the papers use, named apart from their topics

hierarchical structure detection · 0.3decomposition · 0.3
YearPublicationVenuePosition
2013 Cylinder Detection in Large-Scale Point Cloud of Pipeline Plant
abstract
The huge number of points scanned from pipeline plants make the plant reconstruction very difficult. Traditional cylinder detection methods cannot be applied directly due to the high computational complexity. In this paper, we explore the structural characteristics of point cloud in pipeline plants and define a structure feature. Based on the structure feature, we propose a hierarchical structure detection and decomposition method that reduces the difficult pipeline-plant reconstruction problem in IR³ into a set of simple circle detection problems in IR². Experiments with industrial applications are presented, which demonstrate the efficiency of the proposed structure detection method.
Yong-Jin Liu 0001, Ji-Chun Hou, Ji-Cheng Ren, Wei-Qing Tang
IEEE Trans. Vis. Comput. Graph.3