Joint representation of primitive and non-primitive objects for 3D vision

Christiane Sommer, Daniel Cremers

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

The use of structural information in 3D scanning is becoming more and more popular. However, most approaches exploit this structural information either in the form of geometric primitives (mostly planes) or known rigid bodies, but not both. We overcome this limitation and propose an object representation that combines primitive and non-primitive objects using one unified formulation that is based on signed distance fields. Object pose manifolds are introduced to represent the rigid movement of primitives and non-primitives in a natural way. We show that different components of volumetric scanning, such as global trajectory optimization or geometry completion and denoising, benefit from our formulation.

Original languageEnglish
Title of host publicationProceedings - 2018 International Conference on 3D Vision, 3DV 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages160-169
Number of pages10
ISBN (Electronic)9781538684252
DOIs
StatePublished - 12 Oct 2018
Event6th International Conference on 3D Vision, 3DV 2018 - Verona, Italy
Duration: 5 Sep 20188 Sep 2018

Publication series

NameProceedings - 2018 International Conference on 3D Vision, 3DV 2018

Conference

Conference6th International Conference on 3D Vision, 3DV 2018
Country/TerritoryItaly
CityVerona
Period5/09/188/09/18

Keywords

  • Geometric primitives
  • Primitive abstraction
  • Signed distance fields
  • Volumetric scanning

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