A guided image matching approach using Hausdorff distance with interesting points detection

Jia You, E. Pissaloux, J. L. Hellec, P. Bonnin

Research output: Journal article publicationConference articleAcademic researchpeer-review

21 Citations (Scopus)


This paper describes an approach to object matching in aerial images using Hausdorff distance. Instead of applying the pointwise comparison procedure in terms of the Hausdorff distance, the detection of the interesting points in image regions is introduced to guide the search for the best fit between two image sets. Such a guided matching scheme based on the Hausdorff distance improves the conventional blind comparison procedure and speed up the operation. It can be further implemented in parallel.
Original languageEnglish
Article number413253
Pages (from-to)968-972
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
Publication statusPublished - 1 Jan 1994
Externally publishedYes
EventProceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, United States
Duration: 13 Nov 199416 Nov 1994


  • distance transform
  • feature extraction
  • Hausdorff distance
  • image matching
  • interesting points
  • parallel processing

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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