Browsing Eurographics Local Chapter Events by Author "Giachetti, Andrea"
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Approximating Shapes with Standard and Custom 3D Printed LEGO Bricks
Fanni, Filippo Andrea; Dal Bello, Alberto; Sbardellini, Simone; Giachetti, Andrea (The Eurographics Association, 2021)In this paper, we present a work-in-progress aimed at developing a pipeline for the fabrication of shapes reproducing digital models with a combination of standard LEGO bricks and 3D printed custom elements. The pipeline ... -
MLIC-Synthetizer: a Synthetic Multi-Light Image Collection Generator
Dulecha, Tinsae Gebrechristos; Dall'Alba, Andrea; Giachetti, Andrea (The Eurographics Association, 2019)We present MLIC-Synthetizer, a Blender plugin specifically designed for the generation of a syntethic Multi-Light Image Collection using physically-based rendering. This tool makes easy to generate large amount of test ... -
Outside-in Priority-based Approximation of 3D Models in LEGO Bricks
Fanni, Filippo Andrea; Rossi, Elisa De; Giachetti, Andrea (The Eurographics Association, 2022)In this paper, we discuss the problem of converting a 3D mesh into an assembly of LEGO blocks. The major challenge of this task is how to aggregate the voxels derived by the shape discretization into a set of standard ... -
Remote and Deviceless Manipulation of Virtual Objects in Mixed Reality
Caputo, Ariel; Bartolomioli, Riccardo; Giachetti, Andrea (The Eurographics Association, 2023)Deviceless manipulation of virtual objects in mixed reality (MR) environments is technically achievable with the current generation of Head-Mounted Displays (HMDs), as they track finger movements and allow you to use ... -
Smart Tools and Applications in computer Graphics - Eurographics Italian Chapter Conference 2017: Frontmatter
Giachetti, Andrea; Pingi, Paolo; Stanco, Filippo (Eurographics Association, 2017) -
STRONGER: Simple TRajectory-based ONline GEsture Recognizer
Emporio, Marco; Caputo, Ariel; Giachetti, Andrea (The Eurographics Association, 2021)In this paper, we present STRONGER, a client-server solution for the online gesture recognition from captured hands' joints sequences. The system leverages a CNN-based recognizer improving current state-of-the-art solutions ...