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Intelligent interactive volume classification
Grau Carrion, Sergi; Puig Puig, Anna; Escalera, Sergio; Salamó, Maria
Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics; Universitat Politècnica de Catalunya. GIE - Grup d´Informàtica a l´Enginyeria
This paper defines an intelligent and interactive framework to classify multiple regions of interest from the original data on demand, without requiring any preprocessing or previous segmentation. The proposed intelligent and interactive approach is divided in three stages: visualize, training and testing. First, users visualize and label some samples directly on slices of the volume. Training and testing are based on a framework of Error Correcting Output Codes and Adaboost classifiers that learn to classify each region the user has painted. Later, at the testing stage, each classifier is directly applied on the rest of samples and combined to perform multi-class labeling, being used in the final rendering. We also parallelized the training stage using a GPU-based implementation for obtaining a rapid interaction and classification.
Àrees temàtiques de la UPC::Informàtica::Infografia
Computer graphics
Computational Geometry and Object Modeling
Object hierarchies

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