Enrique Yeguas-Bolivar

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The availability of a model to measure the performance of evolutionary algorithms is very important, especially when these algorithms are applied to solve problems with high computational requirements. That model would compute an index of the quality of the solution reached by the algorithm as a function of run-time. Conversely, if we fix an index of(More)
A novel method for procedurally modelling large, complex three–dimensional scenes is presented. Our approach is general-purpose and takes as input any three–dimensional model intuitively provided by a user. The algorithm exploits the adjacency between shapes and objects in the input model and computes an output model that extracts these features(More)
—Squared planar markers are a popular tool for fast, accurate and robust camera localization, but its use is frequently limited to a single marker, or at most, to a small set of them for which their relative pose is known beforehand. Mapping and localization from a large set of planar markers is yet a scarcely treated problem in favour of keypoint-based(More)