Set of bilateral and radial symmetry shape descriptor based on contour information. Issue 3 (24th February 2017)

• Record Type: Journal Article
• Authors: Revollo, Natalia V.; Delrieux, Claudio A.; González‐José, Rolando
• Is Part Of: IET computer vision. Volume 11:Issue 3(2017)
• Page Start: 226
• Page End: 236
• Publication Date: 2017-02-24
• Subjects: object recognition -- feature extraction -- edge detection; bilateral symmetry shape descriptor -- radial symmetry shape descriptor -- contour information -- form descriptor -- object identification -- object recognition -- axes estimation -- symmetry descriptors extraction -- object symmetry axes determination; Computer vision -- Periodicals; Pattern recognition systems -- Periodicals; 006.37
• DOI: 10.1049/iet-cvi.2015.0413
• Languages: English
• ISSNs: 1751-9632

Abstract

Abstract : Form and shape descriptors are among the most useful features for object identification and recognition. Even though there exists a widely used set of shape descriptors and underlying computational methods for their evaluation, frequently they fail to distinguish among very similar objects that they appear very different to the human eye. The authors propose a new set of shape descriptors based on a finer determination of the object symmetry axes, and a more accurate estimation of the bilateral and radial symmetries. These descriptors were thoroughly tested using several synthetic and real objects with varying degrees of symmetry. The methods for axes estimation and symmetry descriptors extraction outperform the widespread shape descriptors in recognising and identifying among very similar objects.