Abstract
We present a flexible curve matching algorithm which performs qualitative matching between curves that are only weakly similar. While for model based recognition it is sufficient to determine if two curves are identical or not, for image database organization a continuous similarity measure, which indicates the amount of similarity between the curves, is needed. We demonstrate how flexible matching can serve to define a suitable measure. Extensive experiments are described, using real images of 3D objects. Occluding contours are matched under partial occlusion and change of viewpoint, and even when the two objects are different (such as the two side views of a horse and a cow). Using the resulting similarity measure between images, automatic hierarchical clustering of an image database is also shown, which faithfully capture the real structure in the data.
Original language | English |
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Title of host publication | Computer Vision - ECCV 1998 - 5th European Conference on Computer Vision, Proceedings |
Editors | Bernd Neumann, Hans Burkhardt |
Publisher | Springer Verlag |
Pages | 123-139 |
Number of pages | 17 |
ISBN (Print) | 3540646132, 9783540646136 |
DOIs | |
State | Published - 1998 |
Event | 5th European Conference on Computer Vision, ECCV 1998 - Freiburg, Germany Duration: 2 Jun 1998 → 6 Jun 1998 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 1407 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 5th European Conference on Computer Vision, ECCV 1998 |
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Country/Territory | Germany |
City | Freiburg |
Period | 2/06/98 → 6/06/98 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 1998.