3D POINT-CLOUD SPATIAL EXPANSION BY TOTAL LEAST-SQUARES LINE FITTING - Publication - Bridge of Knowledge

Search

3D POINT-CLOUD SPATIAL EXPANSION BY TOTAL LEAST-SQUARES LINE FITTING

Abstract

Point-cloud spatial expansion (PCSE) allows the creation of a new pointcloud form that presents an alternative geometry of an entire object in a single spatial view. Spatial expansion facilitates the analysis process and introduces an additional spatial parameter describing the point cloud. An important element of the PCSE method is determining the position of the axis of symmetry of a symmetrical object: the procedure for determining the parameters of this axis (set of cross-sectional centres) of the object’s point cloud by the total least-squares method is presented. The estimation results were used to create a spatial expansion of the point cloud of a cylindrical object, demonstrating the usefulness of total least-squares fitting to the PCSE method.

Citations

  • 1 0

    CrossRef

  • 0

    Web of Science

  • 1 0

    Scopus

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
PHOTOGRAMMETRIC RECORD no. 35, pages 509 - 527,
ISSN: 0031-868X
Language:
English
Publication year:
2020
Bibliographic description:
S. Dąbrowski P., Zienkiewicz M.: 3D POINT-CLOUD SPATIAL EXPANSION BY TOTAL LEAST-SQUARES LINE FITTING// PHOTOGRAMMETRIC RECORD -Vol. 35,iss. 172 (2020), s.509-527
DOI:
Digital Object Identifier (open in new tab) 10.1111/phor.12345
Verified by:
Gdańsk University of Technology

seen 196 times

Recommended for you

Meta Tags