Hierarchical image matching scheme based on the dynamic detection of interesting points

Jia You, Edwige Pissaloux, H. A. Cohen

Research output: Journal article publicationConference articleAcademic researchpeer-review

9 Citations (Scopus)


This paper presents a parallel approach to a hierarchical image matching scheme using the Hausdorff distance for object recognition and localization in aerial images. Unlike the conventional matching methods in which edge pixels are considered as image feature pixels in distance transform and the blind pointwise comparison procedure in terms of the Hausdorff distance is applied, a guided image matching system is developed by the hierarchical detection of interesting points via a dynamic thresholding scheme for the search of the best matching between two image sets. Furthermore, the concept of remote procedure call (RPC) in distributed systems is introduced for the parallel implementation to achieve the speedup without specific software and hardware requirement.
Original languageEnglish
Pages (from-to)2467-2470
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publication statusPublished - 1 Jan 1995
Externally publishedYes
EventProceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) - Detroit, MI, United States
Duration: 9 May 199512 May 1995

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering


Dive into the research topics of 'Hierarchical image matching scheme based on the dynamic detection of interesting points'. Together they form a unique fingerprint.

Cite this