DocumentCode
325165
Title
Object recognition using fuzzy modelling and fuzzy matching
Author
Soodamani, R. ; Liu, Z.Q.
Author_Institution
Dept. of Comput. Sci., Melbourne Univ., Parkville, Vic., Australia
Volume
1
fYear
1998
fDate
4-9 May 1998
Firstpage
165
Abstract
In this paper, a new method is proposed for learning continuous valued features and mapping them into fuzzy concepts. Further, an efficient method of updating fuzzy evidences is proposed which enhances recognition of approximate shapes. The techniques are tested in a model based 3D object recognition system that employs a fuzzy Hough transform approach for global shape description
Keywords
Hough transforms; computer vision; feature extraction; fuzzy set theory; image matching; inference mechanisms; object recognition; stereo image processing; 3D object recognition; Hough transform; computer vision; feature extraction; fuzzy conceptual graphs; fuzzy evidences; fuzzy matching; fuzzy modelling; fuzzy reasoning; fuzzy set theory; learning; shape description; Computer vision; Fuzzy reasoning; Fuzzy systems; Image databases; Image segmentation; Object recognition; Shape; Spatial databases; System testing; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location
Anchorage, AK
ISSN
1098-7584
Print_ISBN
0-7803-4863-X
Type
conf
DOI
10.1109/FUZZY.1998.687477
Filename
687477
Link To Document