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

Jia You; Edwige Pissaloux; H. A. Cohen

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

Jia You, Edwige Pissaloux, H. A. Cohen

Research output: Journal article publication › Conference article › Academic research › peer-review

Abstract

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 language	English
Pages (from-to)	2467-2470
Number of pages	4
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	4
Publication status	Published - 1 Jan 1995
Externally published	Yes
Event	Proceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) - Detroit, MI, United States Duration: 9 May 1995 → 12 May 1995

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "Hierarchical image matching scheme based on the dynamic detection of interesting points",

abstract = "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.",

author = "Jia You and Edwige Pissaloux and Cohen, {H. A.}",

year = "1995",

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journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "0736-7791",

publisher = "IEEE",

note = "Proceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) ; Conference date: 09-05-1995 Through 12-05-1995",

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Hierarchical image matching scheme based on the dynamic detection of interesting points. / You, Jia; Pissaloux, Edwige; Cohen, H. A.
In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 4, 01.01.1995, p. 2467-2470.

Research output: Journal article publication › Conference article › Academic research › peer-review

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T1 - Hierarchical image matching scheme based on the dynamic detection of interesting points

AU - You, Jia

AU - Pissaloux, Edwige

AU - Cohen, H. A.

PY - 1995/1/1

Y1 - 1995/1/1

N2 - 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.

AB - 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.

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M3 - Conference article

SN - 0736-7791

VL - 4

SP - 2467

EP - 2470

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - Proceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5)

Y2 - 9 May 1995 through 12 May 1995

ER -

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

Abstract

ASJC Scopus subject areas

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