Authors: | Rosin, Paul L. Žunić, Joviša |
Affiliations: | Mathematical Institute of the Serbian Academy of Sciences and Arts | Title: | 2D Shape Measures for Computer Vision | First page: | 347 | Last page: | 371 | Related Publication(s): | Handbook of Applied Algorithms: Solving Scientific, Engineering and Practical Problems | Issue Date: | 2007 | ISBN: | 9780470044926 | DOI: | 10.1002/9780470175668.ch12 | Abstract: | Shape is a critical element of computer vision systems, and can be used in many ways and for many applications. Examples include classification, partitioning, grouping, registration, data mining, and content based image retrieval. A variety of schemes that compute global shape measures, which can be categorized as techniques based on minimum bounding rectangles, other bounding primitives, fitted shape models, geometric moments, and Fourier descriptors are described. |
Keywords: | bounding shapes and bounding geometric primitive | Computer vision - 2D shape measures | Fourier descriptors and shape representation | Publisher: | WILEY‐VCH Verlag Berlin GmbH |
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