Rosin, Paul L. ORCID: https://orcid.org/0000-0002-4965-3884 2007. Measuring the orientability of shapes. Presented at: CAIP 2007: 12th International Conference on Computer Analysis of Images and Patterns, Vienna, Austria, 27-29 August 2007. Computer analysis of images and patterns. Lecture notes in computer science (4673) Berlin / Heidelberg: Springer, pp. 620-627. 10.1007/978-3-540-74272-2_77 |
Abstract
An orientability measure determines how orientable a shape is; i.e. how reliable an estimate of its orientation is likely to be. This is valuable since many methods for computing orientation fail for certain shapes. In this paper several existing orientability measures are discussed and several new orientability measures are introduced. The measures are compared and tested on synthetic and real data.
Item Type: | Conference or Workshop Item (Paper) |
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Date Type: | Publication |
Status: | Published |
Schools: | Computer Science & Informatics |
Subjects: | Q Science > QA Mathematics > QA76 Computer software |
Additional Information: | 12th International Conference, CAIP 2007, Vienna, Austria, August 27-29, 2007. Proceedings |
Publisher: | Springer |
ISBN: | 9783540742715 |
Related URLs: | |
Last Modified: | 17 Oct 2022 09:42 |
URI: | https://orca.cardiff.ac.uk/id/eprint/5321 |
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