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Efficient retrieval of similar shapes

โœ Scribed by Davood Rafiei; Alberto O. Mendelzon


Publisher
Springer-Verlag
Year
2002
Tongue
English
Weight
188 KB
Volume
11
Category
Article
ISSN
1066-8888

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Shape similarity retrieval under affine
โœ Farzin Mokhtarian; Sadegh Abbasi ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 317 KB

The maxima of curvature scale space (CSS) image have already been used to represent 2-D shapes in di!erent applications. The representation has shown robustness under the similarity transformations. Scaling, orientation changes, translation and even noise can be easily handled by the representation

Measuring the Performance of Shape Simil
โœ Mats Carlin ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 118 KB

When datamining large databases with images or drawings of objects, there is a need to search for objects with a shape similarity. According to recent overview papers the issue of comparing different shape similarity retrieval methods and systems has largely been neglected in the research community

Fast Retrieval of Isolated Visual Shapes
โœ Boaz J. Super ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 187 KB

Similarity-based retrieval from databases of isolated visual shapes has become an important information retrieval problem. The goal of the current work is to achieve high retrieval speed with reasonable retrieval effectiveness, and support for partial and occluded shape queries. In the proposed meth