Search Results - "Ruggeri, Mauro"

Spectral-Driven Isometry-Invariant Matching of 3D Shapes by Ruggeri, Mauro R., Patanè, Giuseppe, Spagnuolo, Michela, Saupe, Dietmar

“…This paper presents a matching method for 3D shapes, which comprises a new technique for surface sampling and two algorithms for matching 3D shapes based on…”
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Robust surface registration using N-points approximate congruent sets by Yao, Jian, Ruggeri, Mauro R, Taddei, Pierluigi, Sequeira, Vítor

“…Scans acquired by 3D sensors are typically represented in a local coordinate system. When multiple scans, taken from different locations, represent the same…”
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Incidence of herpes zoster and postherpetic neuralgia in Italian adults aged ≥50 years: A prospective study by Salvetti, Andrea, Ferrari, Vincenzo, Garofalo, Remigio, Gazzaniga, Pietro, Guerroni, Alessandro, Metrucci, Antonio, Sessa, Aurelio, Severi, Maria Loretta, Nati, Giulio, Ruggeri, Mauro, Rossi, Alessandro, Cappellari, Laura, Gopala, Kusuma, Tosatto, Roberta, Simone, Benedetto

“…AbstractHerpes zoster (HZ) mainly affects older adults and immunocompromised individuals and is usually characterized by a unilateral painful skin rash. Its…”
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Complex and photo-realistic scene representation based on range planar segmentation and model fusion by Yao, Jian, Taddei, Pierluigi, Ruggeri, Mauro R, Sequeira, Vítor

“…We present an efficient 3D scene representation method from a set of 3D range scans captured from a large-scale indoor or outdoor scene based on range planar…”
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Automatic laser-based identification for UF6 cylinders by Yao, Jian, Taddei, Pierluigi, Ruggeri, Mauro R., Boström, Gunnar, Sequeira, Vítor

“…We present a laser item identification system (L2IS), installed in a real facility on trial, that is capable of automatically monitoring all transfers of…”
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Orthogeriatric co-management for the care of older subjects with hip fracture: recommendations from an Italian intersociety consensus by De Vincentis, Antonio, Behr, Astrid Ursula, Bellelli, Giuseppe, Bravi, Marco, Castaldo, Anna, Galluzzo, Lucia, Iolascon, Giovanni, Maggi, Stefania, Martini, Emilio, Momoli, Alberto, Onder, Graziano, Paoletta, Marco, Pietrogrande, Luca, Roselli, Mauro, Ruggeri, Mauro, Ruggiero, Carmelinda, Santacaterina, Fabio, Tritapepe, Luigi, Zurlo, Amedeo, Antonelli Incalzi, Raffaele

“…Background Health outcomes of older subjects with hip fracture (HF) may be negatively influenced by multiple comorbidities and frailty. An integrated…”
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Management of hip fracture in the older people: rationale and design of the Italian consensus on the orthogeriatric co-management by De Vincentis, Antonio, Behr, Astrid Ursula, Bellelli, Giuseppe, Bravi, Marco, Castaldo, Anna, Cricelli, Claudio, Galluzzo, Lucia, Iolascon, Giovanni, Maggi, Stefania, Martini, Emilio, Momoli, Alberto, Onder, Graziano, Paoletta, Marco, Roselli, Mauro, Ruggeri, Mauro, Santacaterina, Fabio, Tritapepe, Luigi, Zurlo, Amedeo, Antonelli Incalzi, Raffaele

“…Background Hip fracture (HF) is a burdening health problem in older people. The orthogeriatric approach has been shown to favour functional recovery and reduce…”
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Spectral-Driven Isometry-Invariant Matching of 3D Shapes: 3D Object Retrieval by RUGGERI, Mauro R, PATANE, Giuseppe, SPAGNUOLO, Michela, SAUPE, Dietmar

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Robust surface registration using N-points approximate congruent sets: Doc 70 by Yao, Jian, Ruggeri, Mauro R, Taddei, Pierluigi, Sequeira, Vítor

“…Scans acquired by 3D sensors are typically represented in a local coordinate system. When multiple scans, taken from different locations, represent the same…”
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Automatic scan registration using 3D linear and planar features by Yao, Jian, Ruggeri, Mauro R., Taddei, Pierluigi, Sequeira, Vítor

“…We present a common framework for accurate and automatic registration of two geometrically complex 3D range scans by using linear or planar features. The…”
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Robust range image registration using 3D lines by Jian Yao, Ruggeri, M R, Taddei, P, Sequeira, V

“…We present an efficient method for accurate automatic registration of two geometrically complex 3D range scans by using 3D lines. We first detect edges from…”
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