Details of Research Outputs

TitleInvariant Object Recognition Based on Elastic Graph Matching: Theory and Applications
Creator
Subtype著By
Date Issued2003-06
PublisherIOS Press
Publication PlaceAmsterdam
Abstract

This book focuses on the theory and latest research of invariant object recognition based on elastic graph matching techniques. The book consists of two parts: the first covers a general definition of the vision object recognition, with a formal overall classification for different types of vision object recognition systems. The second part covers all the latest works and applications of the Elastic Graph Dynamic Link Model. It includes handwritten Chinese character recognition, human face recognition, object segmentation and scene analysis and the latest research on tropical cyclone patters identification and tracking mining.

ISBN9781586032968
URLView source
Language英语English
Pages280
Document TypeBook
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/7896
CollectionResearch outside affiliated institution
Affiliation
Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
Recommended Citation
GB/T 7714
Lee, Raymond S.T.,Liu, J.N.K. Invariant Object Recognition Based on Elastic Graph Matching: Theory and Applications[M]. Amsterdam: IOS Press, 2003.
Files in This Item:
There are no files associated with this item.
Related Services
Usage statistics
Google Scholar
Similar articles in Google Scholar
[Lee, Raymond S.T.]'s Articles
[Liu, J.N.K.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Lee, Raymond S.T.]'s Articles
[Liu, J.N.K.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Lee, Raymond S.T.]'s Articles
[Liu, J.N.K.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.