Revista: | Computación y sistemas |
Base de datos: | PERIÓDICA |
Número de sistema: | 000383487 |
ISSN: | 1405-5546 |
Autores: | Valdés Amaro, Daniel1 Bhalerao, Abhir2 |
Instituciones: | 1Benemérita Universidad Autónoma de Puebla, Facultad de Ciencias de la Computación, Puebla. México 2University of Warwick, Department of Computer Science, Coventry, West Midlands. Reino Unido |
Año: | 2015 |
Periodo: | Abr-Jun |
Volumen: | 19 |
Número: | 2 |
Paginación: | 233-242 |
País: | México |
Idioma: | Inglés |
Tipo de documento: | Artículo |
Enfoque: | Analítico, descriptivo |
Resumen en inglés | This paper introduces a novel shape representation which performs shape analysis in a hierarchical fashion using Gaussian and Laplacian pyramids. A background on hierarchical shape analysis is given along with a detailed explanation of the hierarchical method, and results are shown on natural contours. A comparison is performed between the new method and our proposed approach using Point Distribution Models with different shape sets. The paper concludes with a discussion and proposes ideas on how the new approach may be extended |
Disciplinas: | Ciencias de la computación |
Palabras clave: | Procesamiento de datos, Análisis de forma, Pirámides Gaussianas, Modelos de forma, Contornos |
Keyword: | Computer science, Data processing, Shape analysis, Gaussian pyramids, Shape models, Contours |
Texto completo: | Texto completo (Ver HTML) |