Segmentation-based Multi-scale Edge Extraction to Measure the Persistence of Features in Unorganized Point Clouds

Dena Bazazian^*, Casas J R., Javier Ruiz-Hidalgo

^*Corresponding author for this work

Research output: Contribution to journal › Conference proceedings published in a journal › peer-review

Original language	English
Number of pages	0
Journal	Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Volume	0
Issue number	0
DOIs	https://doi.org/10.5220/0006092503170325
Publication status	Published - 2017
Event	International Conference on Computer Vision Theory and Applications - Duration: 27 Feb 2017 → 1 Mar 2017

Access to Document

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title = "Segmentation-based Multi-scale Edge Extraction to Measure the Persistence of Features in Unorganized Point Clouds",

author = "Dena Bazazian and R., {Casas J} and Javier Ruiz-Hidalgo",

year = "2017",

doi = "10.5220/0006092503170325",

language = "English",

volume = "0",

journal = "Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",

number = "0",

note = "International Conference on Computer Vision Theory and Applications ; Conference date: 27-02-2017 Through 01-03-2017",

}

Research output: Contribution to journal › Conference proceedings published in a journal › peer-review

TY - JOUR

T1 - Segmentation-based Multi-scale Edge Extraction to Measure the Persistence of Features in Unorganized Point Clouds

AU - Bazazian, Dena

AU - R., Casas J

AU - Ruiz-Hidalgo, Javier

PY - 2017

Y1 - 2017

U2 - 10.5220/0006092503170325

DO - 10.5220/0006092503170325

M3 - Conference proceedings published in a journal

VL - 0

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

JF - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

IS - 0

T2 - International Conference on Computer Vision Theory and Applications

Y2 - 27 February 2017 through 1 March 2017

ER -