On the orientability of shapes

Zunic, J., Rosin, Paul L. ORCID: https://orcid.org/0000-0002-4965-3884 and Kopanja, L. 2006. On the orientability of shapes. IEEE Transactions on Image Processing 15 (11) , pp. 3478-3487. 10.1109/TIP.2006.877527

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Abstract

The orientation of a shape is a useful quantity, and has been shown to affect performance of object recognition in the human visual system. Shape orientation has also been used in computer vision to provide a properly oriented frame of reference, which can aid recognition. However, for certain shapes, the standard moment-based method of orientation estimation fails. We introduce as a new shape feature shape orientability, which defines the degree to which a shape has distinct (but not necessarily unique) orientation. A new method is described for measuring shape orientability, and has several desirable properties. In particular, unlike the standard moment-based measure of elongation, it is able to differentiate between the varying levels of orientability of n-fold rotationally symmetric shapes. Moreover, the new orientability measure is simple and efficient to compute (for an n-gon we describe an O(n) algorithm)

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Schools > Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords:	Early vision,image processing,orientability,orientation,shape
Publisher:	Institute of Electrical & Electronic Engineers
ISSN:	1057-7149
Last Modified:	21 Oct 2022 10:49
URI:	https://orca.cardiff.ac.uk/id/eprint/41460

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