Authors: Žunić, Joviša 
Rosin, Paul
Kopanja, Lazar
Title: On the orientability of shapes
Journal: IEEE Transactions on Image Processing
Volume: 15
Issue: 11
First page: 3478
Last page: 3487
Issue Date: 1-Jan-2006
Rank: M21a
ISSN: 1057-7149
DOI: 10.1109/TIP.2006.877527
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).
Keywords: Early vision | Image processing | Orientability | Orientation | Shape
Publisher: IEEE

Show full item record


checked on May 23, 2024

Page view(s)

checked on May 9, 2024

Google ScholarTM




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