INVESTIGADORES
REVOLLO SARMIENTO Natalia Veronica
artículos
Título:
Set of bilateral and radial symmetry shape descriptor based on contour information
Autor/es:
REVOLLO, NATALIA V.; DELRIEUX, CLAUDIO A.; GONZÁLEZ-JOSÉ, ROLANDO
Revista:
IET COMPUTER VISION
Editorial:
INST ENGINEERING TECHNOLOGY-IET
Referencias:
Año: 2017 vol. 11 p. 226 - 236
ISSN:
1751-9632
Resumen:
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.
