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A qualitative review on 3D coarse registration methods

3D registration or matching is a crucial step in 3D model reconstruction. Registration applications span along a variety of research fields, including computational geometry, computer vision, and geometric modeling. This variety of applications produces many diverse approaches to the problem but at the same time yields divergent notations and a lack of standardized algorithms and guidelines to classify existing methods. In this article, we review the state of the art of the 3D rigid registration topic (focused on Coarse Matching) and offer qualitative comparison between the most relevant approaches. Furthermore, we propose a pipeline to classify the existing methods and define a standard formal notation, offering a global point of view of the literature. Our discussion, based on the results presented in the analyzed papers, shows how, although certain aspects of the registration process still need to be tested further in real application situations, the registration pipeline as a whole has progressed steadily. As a result of this progress in all registration aspects, it is now possible to put together algorithms that are able to tackle new and challenging problems with unprecedented data sizes and meeting strict precision criteria

This work has been supported by the FP7-ICT-2011-7 project PANDORA-Persistent Autonomy through Learning, Adaptation, Observation and Re-planning (Ref 288273) funded by the European Commission and the project RAIMON-Autonomous Underwater Robot for Marine Fish Farms Inspection and Monitoring (Ref CTM2011-29691-C02-02) funded by the Ministry of Economy and Competitiveness of the Spanish government. Ferran Roure is supported by an FPI scholarship associated with the RAIMON project

© ACM Computing Surveys, 2015, vol. 47, núm. 3, article núm. 45

Association for Computing Machinery (ACM)

Author: Díez Donoso, Santiago
Roure Garcia, Ferran
Lladó Bardera, Xavier
Salvi, Joaquim
Date: 2015
Abstract: 3D registration or matching is a crucial step in 3D model reconstruction. Registration applications span along a variety of research fields, including computational geometry, computer vision, and geometric modeling. This variety of applications produces many diverse approaches to the problem but at the same time yields divergent notations and a lack of standardized algorithms and guidelines to classify existing methods. In this article, we review the state of the art of the 3D rigid registration topic (focused on Coarse Matching) and offer qualitative comparison between the most relevant approaches. Furthermore, we propose a pipeline to classify the existing methods and define a standard formal notation, offering a global point of view of the literature. Our discussion, based on the results presented in the analyzed papers, shows how, although certain aspects of the registration process still need to be tested further in real application situations, the registration pipeline as a whole has progressed steadily. As a result of this progress in all registration aspects, it is now possible to put together algorithms that are able to tackle new and challenging problems with unprecedented data sizes and meeting strict precision criteria
This work has been supported by the FP7-ICT-2011-7 project PANDORA-Persistent Autonomy through Learning, Adaptation, Observation and Re-planning (Ref 288273) funded by the European Commission and the project RAIMON-Autonomous Underwater Robot for Marine Fish Farms Inspection and Monitoring (Ref CTM2011-29691-C02-02) funded by the Ministry of Economy and Competitiveness of the Spanish government. Ferran Roure is supported by an FPI scholarship associated with the RAIMON project
Format: application/pdf
ISSN: 0360-0300
Document access: http://hdl.handle.net/10256/12497
Language: eng
Publisher: Association for Computing Machinery (ACM)
Collection: MICINN/PN 2012-2014/CTM2011-29691-C02-02
Reproducció digital del document publicat a: http://dx.doi.org/10.1145/2692160
Articles publicats (D-ATC)
info:eu-repo/grantAgreement/EC/FP7/288273
Is part of: © ACM Computing Surveys, 2015, vol. 47, núm. 3, article núm. 45
Rights: Tots els drets reservats
Subject: Algorismes computacionals
Computer algorithms
Geometria computacional
Computational geometry
Title: A qualitative review on 3D coarse registration methods
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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