Line object matching based on fuzzy similarities

Zhanggui Zeng; Hong Yan

doi:10.1109/FUZZ.2001.1007289

Line object matching based on fuzzy similarities

Zhanggui Zeng
, Hong Yan

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

This paper presents an approach to object feature extraction and object matching for line object processing. The invariant features of objects have been extracted based on inertia coordinate systems. Weighted fuzzy dissimilarity is proposed as a matching variable. To simplify the optimal object matching, an optimal matching pair theorem is proposed. Experiments are conducted for verifying the feature extraction and the optimal matching pair theorem. © 2001 IEEE

Original language	English
Title of host publication	The 10th IEEE International Conference on Fuzzy Systems
Subtitle of host publication	Meeting the grand challenge: Machines that serve people
Publisher	IEEE
Pages	224-227
Volume	1
ISBN (Print)	0-7803-7293-X
DOIs	https://doi.org/10.1109/FUZZ.2001.1007289
Publication status	Published - Dec 2001
Externally published	Yes
Event	10th IEEE International Conference on Fuzzy Systems - The University of Melbourne, Melbourne, Australia Duration: 2 Dec 2001 → 5 Dec 2001

Conference

Conference	10th IEEE International Conference on Fuzzy Systems
Place	Australia
City	Melbourne
Period	2/12/01 → 5/12/01

Research Keywords

Computer animation
Fuzzy dissimilarity
Object feature
Object matching

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10.1109/FUZZ.2001.1007289

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title = "Line object matching based on fuzzy similarities",

abstract = "This paper presents an approach to object feature extraction and object matching for line object processing. The invariant features of objects have been extracted based on inertia coordinate systems. Weighted fuzzy dissimilarity is proposed as a matching variable. To simplify the optimal object matching, an optimal matching pair theorem is proposed. Experiments are conducted for verifying the feature extraction and the optimal matching pair theorem. {\textcopyright} 2001 IEEE",

keywords = "Computer animation, Fuzzy dissimilarity, Object feature, Object matching",

author = "Zhanggui Zeng and Hong Yan",

year = "2001",

month = dec,

doi = "10.1109/FUZZ.2001.1007289",

language = "English",

isbn = "0-7803-7293-X",

volume = "1",

pages = "224--227",

booktitle = "The 10th IEEE International Conference on Fuzzy Systems",

publisher = "IEEE",

address = "United States",

note = "10th IEEE International Conference on Fuzzy Systems ; Conference date: 02-12-2001 Through 05-12-2001",

}

Line object matching based on fuzzy similarities. / Zeng, Zhanggui; Yan, Hong.
The 10th IEEE International Conference on Fuzzy Systems: Meeting the grand challenge: Machines that serve people. Vol. 1 IEEE, 2001. p. 224-227.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Line object matching based on fuzzy similarities

AU - Zeng, Zhanggui

AU - Yan, Hong

PY - 2001/12

Y1 - 2001/12

N2 - This paper presents an approach to object feature extraction and object matching for line object processing. The invariant features of objects have been extracted based on inertia coordinate systems. Weighted fuzzy dissimilarity is proposed as a matching variable. To simplify the optimal object matching, an optimal matching pair theorem is proposed. Experiments are conducted for verifying the feature extraction and the optimal matching pair theorem. © 2001 IEEE

AB - This paper presents an approach to object feature extraction and object matching for line object processing. The invariant features of objects have been extracted based on inertia coordinate systems. Weighted fuzzy dissimilarity is proposed as a matching variable. To simplify the optimal object matching, an optimal matching pair theorem is proposed. Experiments are conducted for verifying the feature extraction and the optimal matching pair theorem. © 2001 IEEE

KW - Computer animation

KW - Fuzzy dissimilarity

KW - Object feature

KW - Object matching

UR - https://www.scopus.com/pages/publications/0035746755

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0035746755&origin=recordpage

U2 - 10.1109/FUZZ.2001.1007289

DO - 10.1109/FUZZ.2001.1007289

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0-7803-7293-X

VL - 1

SP - 224

EP - 227

BT - The 10th IEEE International Conference on Fuzzy Systems

PB - IEEE

T2 - 10th IEEE International Conference on Fuzzy Systems

Y2 - 2 December 2001 through 5 December 2001

ER -

Line object matching based on fuzzy similarities

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Research Keywords

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