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- W2726839286 abstract "A new tridimensional modelling using a set of shape global features and a method for solving the 3D part recognition problem is described in this paper. The method uses a new set of global features as discriminant parameters. They are extracted from a particularly defined spherical representation model of the object. The proposed approach avoids to apply local features based techniques, which usually involve much more computational effort at matching stage. By the contrary, a very simple type of information is associated to each object in such a way that it can be easily distinguished from the others. The method has been successfully applied to a medium database corresponding to real parts sensed in a platform with a Gray Range Finder sensor. Polyhedral and curved objects have been considered. Experimental results and future research work are presented." @default.
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- W2726839286 date "1999-07-01" @default.
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- W2726839286 title "Tridimensional part modelling based on shape global features. Applications to recognition of parts measure by range finder sensors" @default.
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- W2726839286 doi "https://doi.org/10.1016/s1474-6670(17)56074-7" @default.
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