Robust matching process: a dominant point approach

Pong Chi YUEN*, Peter W.M. Tsang, F. K. Lam

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

9 Citations (Scopus)


A robust local feature matching scheme for recognition of occluded objects is developed and reported in this letter. The proposed scheme is computation efficient and can handle the nonlinear distorted local features. A set of handtools is selected to evaluate the performance of the algorithm and the results are encouraging.

Original languageEnglish
Pages (from-to)1223-1233
Number of pages11
JournalPattern Recognition Letters
Issue number12
Publication statusPublished - Dec 1994

Scopus Subject Areas

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

User-Defined Keywords

  • Dominant point
  • Local feature
  • Occluded object recognition

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