Iryna Skrypnyk

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We present a complete system architecture for fully automated markerless augmented reality (AR). The system constructs a sparse metric model of the real-world environment, provides interactive means for specifying the pose of a virtual object, and performs model-based camera tracking with visually pleasing augmentation results. Our approach does not require(More)
Recent research has proved the benefits of the use of ensembles of classifiers for classification problems. Ensembles of classifiers can be constructed by a number of methods manipulating the training set with the purpose of creating a set of diverse and accurate base classifiers. One way to manipulate the training set for construction of the base(More)
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in several application domains, a number of difficulties related to its practical implementation still exist. This paper reports analysis of simple examples as a first step towards(More)