A new 2-point absolute pose estimation algorithm under plannar motion

Sung In Choi, Soon Yong Park

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

1 Scopus citations

Abstract

Several motion estimation algorithms, such as n-point and perspective n-point (PnP) have been introduced over the last few decades to solve relative and absolute pose estimation problems. Since the n-point algorithms cannot decide the real scale of robot motion, the PnP algorithms are often addressed to find the absolute scale of motion. This paper introduces a new PnP algorithm which uses only two 3D-2D correspondences by considering only planar motion. Experiment results prove that the proposed algorithm solves the absolute motion in real scale with high accuracy and less computational time compared to previous algorithms.

Original languageEnglish
Title of host publicationVISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings
EditorsSebastiano Battiato, Francisco Imai, Jose Braz
PublisherSciTePress
Pages643-647
Number of pages5
ISBN (Electronic)9789897580918
StatePublished - 2015
Event10th International Conference on Computer Vision Theory and Applications, VISAPP 2015 - Berlin, Germany
Duration: 11 Mar 201514 Mar 2015

Publication series

NameVISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings
Volume3

Conference

Conference10th International Conference on Computer Vision Theory and Applications, VISAPP 2015
Country/TerritoryGermany
CityBerlin
Period11/03/1514/03/15

Keywords

  • Robot motion
  • Simultaneous localization and mapping
  • Visual odometry

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