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

Show full item record

SCOPUSTM   
Citations

10
checked on Mar 31, 2025

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.