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

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

doi:10.1109/ICIP.1994.413253

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 publication › Conference article › Academic research › peer-review

17 Citations (Scopus)

Abstract

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 language	English
Article number	413253
Pages (from-to)	968-972
Number of pages	5
Journal	Proceedings - International Conference on Image Processing, ICIP
Volume	1
DOIs	https://doi.org/10.1109/ICIP.1994.413253
Publication status	Published - 1 Jan 1994
Externally published	Yes
Event	Proceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, United States Duration: 13 Nov 1994 → 16 Nov 1994

Keywords

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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10.1109/ICIP.1994.413253

Cite this

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KW - distance transform

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KW - Hausdorff distance

KW - image matching

KW - interesting points

KW - parallel processing

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M3 - Conference article

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JO - Proceedings - International Conference on Image Processing, ICIP

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ER -

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

Abstract

Keywords

ASJC Scopus subject areas

More information

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