Para acceder a los documentos con el texto completo, por favor, siga el siguiente enlace: http://hdl.handle.net/10256/2311

Using appearance and context for outdoor scene object classification
Bosch Rué, Anna; Muñoz Pujol, Xavier; Martí Bonmatí, Joan
We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down control, which uses the previously learned models (appearance and absolute location) to obtain an initial pixel-level classification. This information provides us the core of objects, which is used to acquire a more accurate object model. Therefore, their growing by specific active regions allows us to obtain an accurate recognition of known regions. Next, a stage of general segmentation provides the segmentation of unknown regions by a bottom-strategy. Finally, the last stage tries to perform a region fusion of known and unknown segmented objects. The result is both a segmentation of the image and a recognition of each segment as a given object class or as an unknown segmented object. Furthermore, experimental results are shown and evaluated to prove the validity of our proposal
Discriminació visual
Imatges -- Processament
Imatges -- Segmentació
Reconeixement òptic de formes
Visió per ordinador
Computer vision
Image processing
Imaging segmentation
Optical pattern recognition
Visual discrimination
Tots els drets reservats
Artículo
IEEE
         

Mostrar el registro completo del ítem

Documentos relacionados

Otros documentos del mismo autor/a

Bosch Rué, Anna; Muñoz Pujol, Xavier; Oliver i Malagelada, Arnau; Martí Bonmatí, Joan
Bosch Rué, Anna; Muñoz Pujol, Xavier; Oliver i Malagelada, Arnau; Martí Marly, Robert
Oliver i Malagelada, Arnau; Martí Bonmatí, Joan; Martí Marly, Robert; Bosch Rué, Anna; Freixenet i Bosch, Jordi
Muñoz Pujol, Xavier; Cufí i Solé, Xavier; Freixenet i Bosch, Jordi; Martí Bonmatí, Joan