DocumentCode :
1646402
Title :
A flexible algorithm for image matching
Author :
Odone, Francesca ; Trucco, Emanuele ; Verri, Alessandro
Author_Institution :
INFM, Genoa Univ., Italy
fYear :
2001
Firstpage :
290
Lastpage :
295
Abstract :
We propose a method for measuring the similarity between grey level images. The method is able to match images successfully even in the presence of small geometric deformations, illumination changes, and severe occlusions. It fits naturally an implementation based on a comparison of data structures which requires no numerical computations. The range of its applications is vast, and in particular it is a useful tool for object detection and iconic search. We present very good results on real images with and without occlusions, and a qualitative comparative study with a well-known correlation method
Keywords :
correlation methods; data structures; image matching; object detection; correlation method; data structure comparison; flexible algorithm; geometric deformations; grey level images; iconic search; illumination changes; image matching; object detection; real images; severe occlusions; similarity measurement; Application software; Computer vision; Correlation; Data structures; Image matching; Layout; Lighting; Object detection; Object recognition; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Processing, 2001. Proceedings. 11th International Conference on
Conference_Location :
Palermo
Print_ISBN :
0-7695-1183-X
Type :
conf
DOI :
10.1109/ICIAP.2001.957024
Filename :
957024
Link To Document :
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