Feature-based quality evaluation of 3D point clouds -Study of the performance of 3D registration algorithms

T. Ridene; F. Goulette; S. Chendeb

doi:10.5194/isprsarchives-XL-2-W2-59-2013

Feature-based quality evaluation of 3D point clouds -Study of the performance of 3D registration algorithms

T. Ridene
, F. Goulette
, S. Chendeb

Research output: Contribution to journal › Conference article › peer-review

Abstract

The production of realistic 3D map databases is continuously growing. We studied an approach of 3D mapping database producing based on the fusion of heterogeneous 3D data. In this term, a rigid registration process was performed. Before starting the modeling process, we need to validate the quality of the registration results, and this is one of the most difficult and open research problems. In this paper, we suggest a new method of evaluation of 3D point clouds based on feature extraction and comparison with a 2D reference model. This method is based on tow metrics: binary and fuzzy.

Original language	English
Pages (from-to)	59-64
Number of pages	6
Journal	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume	XL-2/W2
DOIs	https://doi.org/10.5194/isprsarchives-XL-2-W2-59-2013
Publication status	Published - 1 Jan 2013
Externally published	Yes
Event	ISPRS 8th 3D GeoInfo Conference and WG II/2 Workshop - Istanbul, Turkey Duration: 27 Nov 2013 → 29 Nov 2013

Keywords

3D point clouds
Binary
DSM
FBQ-evaluation
Fuzzy
ICP
MMS

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10.5194/isprsarchives-XL-2-W2-59-2013

Cite this

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title = "Feature-based quality evaluation of 3D point clouds -Study of the performance of 3D registration algorithms",

abstract = "The production of realistic 3D map databases is continuously growing. We studied an approach of 3D mapping database producing based on the fusion of heterogeneous 3D data. In this term, a rigid registration process was performed. Before starting the modeling process, we need to validate the quality of the registration results, and this is one of the most difficult and open research problems. In this paper, we suggest a new method of evaluation of 3D point clouds based on feature extraction and comparison with a 2D reference model. This method is based on tow metrics: binary and fuzzy.",

keywords = "3D point clouds, Binary, DSM, FBQ-evaluation, Fuzzy, ICP, MMS",

author = "T. Ridene and F. Goulette and S. Chendeb",

year = "2013",

month = jan,

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doi = "10.5194/isprsarchives-XL-2-W2-59-2013",

language = "English",

volume = "XL-2/W2",

pages = "59--64",

journal = "International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives",

issn = "1682-1750",

note = "ISPRS 8th 3D GeoInfo Conference and WG II/2 Workshop ; Conference date: 27-11-2013 Through 29-11-2013",

}

Feature-based quality evaluation of 3D point clouds -Study of the performance of 3D registration algorithms. / Ridene, T.; Goulette, F.; Chendeb, S.
In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. XL-2/W2, 01.01.2013, p. 59-64.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - Feature-based quality evaluation of 3D point clouds -Study of the performance of 3D registration algorithms

AU - Ridene, T.

AU - Goulette, F.

AU - Chendeb, S.

PY - 2013/1/1

Y1 - 2013/1/1

N2 - The production of realistic 3D map databases is continuously growing. We studied an approach of 3D mapping database producing based on the fusion of heterogeneous 3D data. In this term, a rigid registration process was performed. Before starting the modeling process, we need to validate the quality of the registration results, and this is one of the most difficult and open research problems. In this paper, we suggest a new method of evaluation of 3D point clouds based on feature extraction and comparison with a 2D reference model. This method is based on tow metrics: binary and fuzzy.

AB - The production of realistic 3D map databases is continuously growing. We studied an approach of 3D mapping database producing based on the fusion of heterogeneous 3D data. In this term, a rigid registration process was performed. Before starting the modeling process, we need to validate the quality of the registration results, and this is one of the most difficult and open research problems. In this paper, we suggest a new method of evaluation of 3D point clouds based on feature extraction and comparison with a 2D reference model. This method is based on tow metrics: binary and fuzzy.

KW - 3D point clouds

KW - Binary

KW - DSM

KW - FBQ-evaluation

KW - Fuzzy

KW - ICP

KW - MMS

U2 - 10.5194/isprsarchives-XL-2-W2-59-2013

DO - 10.5194/isprsarchives-XL-2-W2-59-2013

M3 - Conference article

AN - SCOPUS:84906993537

SN - 1682-1750

VL - XL-2/W2

SP - 59

EP - 64

JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

T2 - ISPRS 8th 3D GeoInfo Conference and WG II/2 Workshop

Y2 - 27 November 2013 through 29 November 2013

ER -

Feature-based quality evaluation of 3D point clouds -Study of the performance of 3D registration algorithms

Abstract

Keywords

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