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Straightening and Partitioning Shapes

Rosin, Paul L. 2001. Straightening and Partitioning Shapes. Lecture Notes in Computer Science 2059 , pp. 440-450. 10.1007/3-540-45129-3_40

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Abstract

A method for partitioning shapes is described based on a global convexity measure. Its advantages are that its global nature makes it robust to noise, and apart from the number of partitioning cuts no parameters are required. In order to ensure that the method operates correctly on bent or undulating shapes a process is developed that identifies the underlying bending and removes it, straightening out the shape. Results are shown on a large range of shapes.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: Springer
ISSN: 0302-9743
Last Modified: 04 Jun 2017 02:54
URI: http://orca.cf.ac.uk/id/eprint/13604

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