A fast template matching method with rotation invariance by combining the circular projection transform process and bounded partial correlation

Wen Chia Lee, Chin-Hsing Chen

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

This letter proposes an algorithm for rotation invariance template matching by combining the circular projection transformation (CPT) and the bounded partial correlation (BPC). CPT is a method that involves rotation invariance for template matching, but calculating the CPT values from the spatial domain is time-consuming. We use the frequency domain approach to reduce the computation time of CPT and the BPC to rapidly skip the positions that dissimilate to a template image. Experiments demonstrated that the proposed algorithm can considerably accelerate the template matching process when scene rotations are present.

Original languageEnglish
Article number6266693
Pages (from-to)737-740
Number of pages4
JournalIEEE Signal Processing Letters
Volume19
Issue number11
DOIs
Publication statusPublished - 2012 Sep 24

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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