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
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