Luigi De Dominicis

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Inspired by retinex theory, we propose a novel method for selecting key points from a depth map of a 3D freeform shape; we also use these key points as a basis for shape registration. To find key points, first, depths are transformed using the Hotelling method and normalized to reduce their dependence on a particular viewpoint. Adaptive smoothing is then(More)
Feature extraction and matching (FEM) for 3D shapes finds numerous applications in computer graphics and vision for object modeling, retrieval, morphing, and recognition. However, unavoidable incorrect matches lead to inaccurate estimation of the transformation relating different datasets. Inspired by AdaBoost, this paper proposes a novel iterative(More)
1 ENEA, Dipartimento Tecnologie Fisiche e Nuovi Materiali, Centro Ricerche Frascati, Via Enrico Fermi 45, 00044 Frascati, Rome, Italy 2ENEA fellow, Dipartimento Tecnologie Fisiche e Nuovi Materiali, Centro Ricerche Frascati, Via. Enrico Fermi 45, 00044 Frascati, Rome, Italy 3ENEA guest, Dipartimento Tecnologie Fisiche e Nuovi Materiali, Centro Ricerche(More)
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