The research of the match of corresponding points in multi-view and the realization by evolutionary programming

Junjun Pan, Yanning Zhang, Hong Zhou, Yuxia Hou, Lihua Long, Lan Yao

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

Abstract

Present a corresponding point match algorithm based on "The Regulation of the Minimum Summation of Euclid Distance". This algorithm gives the regulation that makes the corresponding points match to the highest accuracy according to the condition that the relative position is almost fixed for corresponding points in adjoining area if two images are acquired by means of multi-view. This match algorithm is realized by evolutionary programming. By experiment on PC, the result demonstrates that it can match the most corresponding points in low time cost.

Original languageEnglish
Title of host publication2004 7th International Conference on Signal Processing Proceedings, ICSP
Pages2203-2206
Number of pages4
StatePublished - 2004
Event2004 7th International Conference on Signal Processing Proceedings, ICSP - Beijing, China
Duration: 31 Aug 20044 Sep 2004

Publication series

Name2004 7th International Conference on Signal Processing Proceedings, ICSP

Conference

Conference2004 7th International Conference on Signal Processing Proceedings, ICSP
Country/TerritoryChina
CityBeijing
Period31/08/044/09/04

Keywords

  • Corresponding points
  • Evolutionary programming
  • Multi-view
  • Regulation of the Minimum Summation of Euclid Distance

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