Real-time surface of revolution reconstruction on dense SLAM

Liming Yang, Hideaki Uchiyama, Jean Marie Normand, Guillaume Moreau, Hajime Nagahara, Rin Ichiro Taniguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

We present a fast and accurate method for reconstructing surfaces of revolution (SoR) on 3D data and its application to structural modeling of a cluttered scene in real-time. To estimate a SoR axis, we derive an approximately linear cost function for fast convergence. Also, we design a framework for reconstructing SoR on dense SLAM. In the experiment results, we show our method is accurate, robust to noise and runs in real-time.

Original languageEnglish
Title of host publicationProceedings - 2016 4th International Conference on 3D Vision, 3DV 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages28-36
Number of pages9
ISBN (Electronic)9781509054077
DOIs
Publication statusPublished - Dec 15 2016
Event4th International Conference on 3D Vision, 3DV 2016 - Stanford, United States
Duration: Oct 25 2016Oct 28 2016

Publication series

NameProceedings - 2016 4th International Conference on 3D Vision, 3DV 2016

Other

Other4th International Conference on 3D Vision, 3DV 2016
CountryUnited States
CityStanford
Period10/25/1610/28/16

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Signal Processing

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