Local feature detector using 3-point matching and dynamic programming

Pong Chi YUEN*, Peter WM Tsang

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

4 Citations (Scopus)


A local feature detection scheme for the recognition of occluded objects is developed and reported in this paper. A 3-point matching algorithm is developed to reduce the local feature matching trial. An elastic matching technique using dynamic programming provides the capability of handling the non-linearly distorted features. Also, the proposed scheme is computationally efficient. A set of handtools is selected to evaluate the performance of the algorithm, and the results are encouraging.

Original languageEnglish
Pages (from-to)179-187
Number of pages9
JournalImage and Vision Computing
Issue number3
Publication statusPublished - Apr 1995

Scopus Subject Areas

  • Signal Processing
  • Computer Vision and Pattern Recognition

User-Defined Keywords

  • 3-point matching
  • elastic matching technique
  • feature detection
  • object recognition


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