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Linear pose estimation algorithm based on quaternion

  • Yongjian He
  • , Caigui Jiang
  • , Chengwei Hu
  • , Jingmin Xin
  • , Qiong Wu
  • , Fei Wang
  • Xi'an Jiaotong University
  • Xi'an Communication Institute
  • China Aerospace Science and Technology Corporation

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

3 Scopus citations

Abstract

A novel linear camera pose estimation algorithm is presented using known 3D to 2D line correspondences and point correspondences. The rotation parameters are represented by unit quaternion. For n (n>=4) correspondences, we establish an equation system with 2n quadratic equations in thirteen variables and apply the "relinearization" method to obtain the rotation parameters and translation parameters simultaneously. We compare our algorithm with Ansar's NLL algorithm for line correspondences by some synthetic experiments. Our algorithm performs better on the aspect of running time and accuracy of determined pose parameters. Some real experiments are produced by 1 point-3 lines, 2 points-2 lines, 3 points- 1 line correspondences. The projection of a 3D model is applied to estimate the performance of our algorithm.

Original languageEnglish
Title of host publicationAdvanced Intelligent Computing - 7th International Conference, ICIC 2011, Revised Selected Papers
Pages303-310
Number of pages8
DOIs
StatePublished - 2011
Event7th International Conference on Intelligent Computing, ICIC 2011 - Zhengzhou, China
Duration: 11 Aug 201114 Aug 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6838 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Intelligent Computing, ICIC 2011
Country/TerritoryChina
CityZhengzhou
Period11/08/1114/08/11

Keywords

  • pose estimation
  • quaternion
  • relinearization

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