Simone Marini

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To fully exploit the valuable knowledge embedded in repositories of digital models, it is crucial to devise search engines capable of expressing high-level and advanced queries, which can effectively support the re-use of CAD models. The retrieval mechanism should be able to return not only global similarity measures among objects, but it should be also(More)
Binary traits are often encountered in plant (and animal) breeding. These include resistance/susceptibility to diseases or the presence/absence of a given characteristic. Root vigor in sugar beet is related to nutrient uptake from the soil and sugar yield and can be classified as either high or low, thus providing an example of binary trait of agronomic(More)
Research in content-based 3D retrieval has already started, and several approaches have been proposed which use in different manner a similarity assessment to match the shape of the query against the shape of the objects in the database. However, the success of these solutions are far from the success obtained by their textual counterparts. A major drawback(More)
In the context of shape matching, this paper proposes a framework for selecting the Laplacian eigenvalues of 3D shapes that are more relevant for shape comparison and classification. Three approaches are compared to identify a specific set of eigenvalues such that they maximise the retrieval and/or the classification performance on the input benchmark data(More)