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http://cimat.repositorioinstitucional.mx/jspui/handle/1008/638| Bayesian Segmentation of Range Images of Polyhedra Objects Using Entropy Controlled Quadratic Markov Measure Field Models | |
| JOSE LUIS MARROQUIN ZALETA | |
| Acceso Abierto | |
| Atribución-NoComercial | |
| Procesamiento de Imágenes | |
| In this paper, a method based on Bayesian estimation with prior MRF models for segmentation of range images of polyhedral objects is presented. This method includes new ways to determine the confidence associated with the information given for every pixel in the image as well an improved method for the localization of the boundaries between regions. The performance of the method compares favorably with other state of the art procedures when evaluated using standard benchmark. | |
| Centro de Investigación en Matemáticas AC | |
| 11-06-2007 | |
| Reporte | |
| Inglés | |
| Investigadores | |
| CÓDIGO Y SISTEMAS DE CODIFICACIÓN | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Reportes Técnicos - Ciencias de la Computación |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| I-07-09.pdf | 395.49 kB | Adobe PDF | Visualizar/Abrir |