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A Qualitative Review on 3D Coarse Registration Methods

Published: 17 February 2015 Publication History

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.

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cover image ACM Computing Surveys
ACM Computing Surveys  Volume 47, Issue 3
April 2015
602 pages
ISSN:0360-0300
EISSN:1557-7341
DOI:10.1145/2737799
  • Editor:
  • Sartaj Sahni
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 17 February 2015
Accepted: 01 November 2014
Revised: 01 September 2014
Received: 01 January 2014
Published in CSUR Volume 47, Issue 3

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Author Tags

  1. 3D registration
  2. coarse matching
  3. computational geometry
  4. point cloud matching
  5. point descriptors
  6. surface alignment

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  • Refereed

Funding Sources

  • FPI scholarship associated with the RAIMON project
  • European Commission and the project RAIMON-Autonomous Underwater Robot for Marine Fish Farms Inspection and Monitoring (Ref CTM2011-29691-C02-02)
  • FP7-ICT-2011-7 project PANDORA-Persistent Autonomy through Learning, Adaptation, Observation and Re-planning (Ref 288273)
  • Ministry of Economy and Competitiveness of the Spanish government

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