Simultaneous detection and segmentation for generic objects
This thesis deals with the simultaneous detection and segmentation for generic objects in images. The proposed approach is based on building a dictionary of patches, which defines the object and allows the extraction of the detection and segmentation features used to train the classifier. Moreover,...
| Autor: | |
|---|---|
| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2013 |
| País: | España |
| Institución: | CBUC, CESCA |
| Repositorio: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/117736 |
| Acceso en línea: | http://hdl.handle.net/10803/117736 |
| Access Level: | acceso abierto |
| Palabra clave: | Computer vision Visió per computador Visión por computador Detection Detecció Detección Segmentation Segmentació Segmentación Image analysis Anàlisi d'imatges Análisis de imágenes 004 68 |
| Sumario: | This thesis deals with the simultaneous detection and segmentation for generic objects in images. The proposed approach is based on building a dictionary of patches, which defines the object and allows the extraction of the detection and segmentation features used to train the classifier. Moreover, we include in the boosting training the ability of crossing information between detection and segmentation with the aim that good detections may help to better segment and vice versa. We adapt also the detection proposal to deal with specific problems of object recognition in medical and astronomical images. This point stresses one of the objectives of this thesis; proposing a generic approach able to deal with objects of a very different nature |
|---|