Darijan Marcetic

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This paper describes a knowledge-based system for the non-destructive diagnostics of fac ßade isolation. The system uses the fusion of information extracted from images obtained from two electromagnetic wavebands: from low-resolution IR images (320 Â 240 pixels; 7.5–13 lm wavelength), and from high-resolution visual RGB images (3264 Â 2448 pixels; 0.39–0.75(More)
—Many techniques in the area of 3D face recognition rely on local descriptors to characterize the surface-shape information around points of interest (or keypoints) in the 3D images. Despite the fact that a lot of advancements have been made in the area of keypoint descriptors over the last years, the literature on 3D-face recognition for the most part(More)
—This paper describes a model of a hierarchical, heterogeneous knowledge-base. The proposed model consists of an associative level that is implemented by a Kanerva-like sparse distributed memory (SDM) and a semantic level realized by a knowledge-representation scheme based on the Fuzzy Petri Net theory. The levels are interconnected with forward and(More)
This paper presents a hierarchical heterogeneous knowledge-base model. The model is designed to support manipulation with human knowledge about real or abstract concepts from the real world that are uncertain, ambiguous, vague and fuzzy. It has two levels: a lower associative and a higher semantic. It enables processing of novel concepts in the inheritance(More)
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