A multi-level scene matching algorithm based on adaptive polar transform

Baoquan Lei, Yanjun Fu, Yongmei Cheng, Quan Pan

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

Abstract

In the scene matching aided-navigation system, there often exists rotation, scale difference and occlusion between actual image and reference image. According to the navigation system demands of robustness, instantaneity and precision, a multi-level algorithm based on adaptive polar transform is proposed for its robustness to rotation, scale difference and occlusion. In the matching process, the rectangle window is replaced by a circle window to eliminate the cut error caused by rotation, which improves the matching precision. To accelerate the matching procedure, a pixel-jump searching method combined with a multi-resolution imaging technique is used to reduce the computational load. Experiments illustrate the effectiveness of the proposed methods.

Original languageEnglish
Title of host publication2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010
DOIs
StatePublished - 2010
Event2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010 - Wuhan, China
Duration: 10 Dec 201012 Dec 2010

Publication series

Name2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010

Conference

Conference2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010
Country/TerritoryChina
CityWuhan
Period10/12/1012/12/10

Keywords

  • Adaptive polar transformation
  • Log-polar transform
  • Occlusion
  • Pixel jump
  • Rotation
  • Scale difference

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