An efficient 3D point cloud data denoising algorithm for ship block visual measurement
An efficient 3D point cloud data denoising algorithm for ship block visual measurement
About this item
Full title
Author / Creator
Tao, Liu and Hongwang, Du
Publisher
Les Ulis: EDP Sciences
Journal title
Language
English
Formats
Publication information
Publisher
Les Ulis: EDP Sciences
Subjects
More information
Scope and Contents
Contents
For the 3D point cloud data aquired by laser scanning measurement of ship block, an efficient denoising algorithm based on image and normal vector threshold judgement is proposed. Firstly, large scale noise points are eliminated using global threshold judgement based image, then Kuwahara filter algorithm is used for data smoothing and a denoising a...
Alternative Titles
Full title
An efficient 3D point cloud data denoising algorithm for ship block visual measurement
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_56278714dfb74fc9ac671063225a6dbb
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_56278714dfb74fc9ac671063225a6dbb
Other Identifiers
ISSN
2261-236X,2274-7214
E-ISSN
2261-236X
DOI
10.1051/matecconf/201713900041
