Analytic Approach to Finding Lines in Images and Estimating their Uncertainty

Matthew Harker; Paul O’Leary

doi:10.1007/978-3-319-95588-9_111

Analytic Approach to Finding Lines in Images and Estimating their Uncertainty

Matthew Harker, Paul O’Leary

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	ICGG 2018-Proceedings of the 18th International Conference on Geometry and Graphics - 40th Anniversary
Publisher	Springer Berlin
Pages	1280-1291
Number of pages	12
ISBN (Print)	9783319955872
DOIs	https://doi.org/10.1007/978-3-319-95588-9_111
Publication status	Published - 2018
Event	18th International Conference on Geometry and Graphics, ICGG 2018 - Milan, Italy Duration: 3 Aug 2018 → 7 Aug 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	809
ISSN (Print)	2194-5357

Conference

Conference	18th International Conference on Geometry and Graphics, ICGG 2018
Country/Territory	Italy
City	Milan
Period	3/08/18 → 7/08/18

Keywords

Covariance propagation
Hough transform
Line fitting
Maximum likelihood
Nyquist sampling

Access to Document

10.1007/978-3-319-95588-9_111

Cite this

@inproceedings{62749e24cffa4b468a097d7d3b3c071e,

title = "Analytic Approach to Finding Lines in Images and Estimating their Uncertainty",

keywords = "Covariance propagation, Hough transform, Line fitting, Maximum likelihood, Nyquist sampling",

author = "Matthew Harker and Paul O{\textquoteright}Leary",

year = "2018",

doi = "10.1007/978-3-319-95588-9_111",

language = "English",

isbn = "9783319955872",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Berlin",

pages = "1280--1291",

booktitle = "ICGG 2018-Proceedings of the 18th International Conference on Geometry and Graphics - 40th Anniversary",

address = "Germany",

note = "18th International Conference on Geometry and Graphics, ICGG 2018 ; Conference date: 03-08-2018 Through 07-08-2018",

}

Harker, M & O’Leary, P 2018, Analytic Approach to Finding Lines in Images and Estimating their Uncertainty. in ICGG 2018-Proceedings of the 18th International Conference on Geometry and Graphics - 40th Anniversary. Advances in Intelligent Systems and Computing, vol. 809, Springer Berlin, pp. 1280-1291, 18th International Conference on Geometry and Graphics, ICGG 2018, Milan, Italy, 3/08/18. https://doi.org/10.1007/978-3-319-95588-9_111

Analytic Approach to Finding Lines in Images and Estimating their Uncertainty. / Harker, Matthew; O’Leary, Paul.
ICGG 2018-Proceedings of the 18th International Conference on Geometry and Graphics - 40th Anniversary. Springer Berlin, 2018. p. 1280-1291 (Advances in Intelligent Systems and Computing; Vol. 809).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Analytic Approach to Finding Lines in Images and Estimating their Uncertainty

AU - Harker, Matthew

AU - O’Leary, Paul

PY - 2018

Y1 - 2018

KW - Covariance propagation

KW - Hough transform

KW - Line fitting

KW - Maximum likelihood

KW - Nyquist sampling

UR - http://www.scopus.com/inward/record.url?scp=85050638541&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-95588-9_111

DO - 10.1007/978-3-319-95588-9_111

M3 - Conference contribution

AN - SCOPUS:85050638541

SN - 9783319955872

T3 - Advances in Intelligent Systems and Computing

SP - 1280

EP - 1291

BT - ICGG 2018-Proceedings of the 18th International Conference on Geometry and Graphics - 40th Anniversary

PB - Springer Berlin

T2 - 18th International Conference on Geometry and Graphics, ICGG 2018

Y2 - 3 August 2018 through 7 August 2018

ER -

Analytic Approach to Finding Lines in Images and Estimating their Uncertainty

Publication series

Conference

Keywords

Access to Document

Other files and links

Geometric fitting, registration and identification for large sets of spatial measurement data

Geometric Fitting, registration and identification for large sets of spatial measurement data

Cite this

Analytic Approach to Finding Lines in Images and Estimating their Uncertainty

Publication series

Conference

Keywords

Access to Document

Other files and links

Research output

Geometric fitting, registration and identification for large sets of spatial measurement data

Activities

Geometric Fitting, registration and identification for large sets of spatial measurement data

Cite this