Title :
Line object matching based on fuzzy similarities
Author :
Zeng, Zhanggui ; Yan, Hong
Author_Institution :
Sch. of Electr. & Inf. Eng., Sydney Univ., NSW, Australia
fDate :
6/23/1905 12:00:00 AM
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 optimal matching pair theorem
Keywords :
computer animation; dynamic programming; feature extraction; fuzzy set theory; image matching; object recognition; computer animation; dynamic programming; fuzzy dissimilarity; inertia coordinate systems; line object processing; object feature extraction; object matching; optimal matching pair theorem; Animation; Australia; Data mining; Dynamic programming; Feature extraction; Image processing; Optimal matching; Pattern matching; Pattern recognition; Production;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1007289
