A qualitative review on 3D coarse registration methodsk

Yago Díez, Ferran Roure, Xavier Lladó, Joaquim Salvi

Research output: Contribution to journalReview articlepeer-review

68 Citations (Scopus)


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.

Original languageEnglish
Article number45
JournalACM Computing Surveys
Issue number3
Publication statusPublished - 2015 Feb 1
Externally publishedYes


  • 3D registration
  • coarse matching
  • computational geometry
  • point cloud matching
  • point descriptors
  • surface alignment

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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