A fast computational method for minimum square error transform

Seongwhan Lee, Jin H. Kim

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In this paper, we describe a basic minimum square error transform for point pattern matching and propose a fast computational method for minimum square error transform. The computational analysis revealed that the proposed method is faster than that of Groen et al. (1985).

Original languageEnglish
Pages (from-to)143-146
Number of pages4
JournalPattern Recognition Letters
Volume8
Issue number3
DOIs
Publication statusPublished - 1988 Oct

Keywords

  • Minimum square error transform
  • image matching
  • point pattern matching

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'A fast computational method for minimum square error transform'. Together they form a unique fingerprint.

  • Cite this