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Object recognition or object's category recognition under varying conditions is one of the most astonishing capabilities of human visual system. The scientists in computer vision have been trying for decades to reproduce this ability by implementing algorithms and providing computers with appropriate tools. Hence, several intelligent systems have been proposed. To act in this field, numerous approaches...
In open-ended domains, autonomous robots must have the ability to continuously process visual information, and execute learning and recognition in a concurrent and interleaved fashion. Because the set of categories to be learned is not predefined, it is not feasible to assume that one can pre-program all object categories required by service robots. Topic modelling approaches usually construct the...
The main objective of this paper is to contribute to the advancement of 3D modeling techniques in order to make them more adapted to human visual capabilities. The proposed approach exploits human visual attention characteristics and incorporates them in a multiple level-of-detail (LOD) 3D object modeling scheme in order to ensure a better quality of simplified models at various resolutions. A visual...
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