| Revue: | 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 |
| Texte intégral: | Texto completo (Ver HTML) |
