Thanks to increasing efforts towards 3D digitisation in the Cultural Heritage domain, we are seeing increasing interest in computer graphics tools that can concretely support innovative curatorial and documentation systems that fully exploit the potential of digital data beyond rendering and visualisation that are today commonplace. At the same time, this trend calls for robust and automatic methods for 3D data ingestion, able to prepare the 3D models for the variety of operations that could be applied to the digital twins of artefacts. In this work, we present a 3D data ingestion procedure based on a fully automatic pipeline that cleans meshes from reconstruction defects and provides a suite of resolutions by down-sampling the meshes while preserving the geometric details and a method to transfer 3D annotations across model resolutions.

A pipeline for the preparation of artefacts that provides annotations persistence

A Scalas;M Mortara;M Spagnuolo
2019

Abstract

Thanks to increasing efforts towards 3D digitisation in the Cultural Heritage domain, we are seeing increasing interest in computer graphics tools that can concretely support innovative curatorial and documentation systems that fully exploit the potential of digital data beyond rendering and visualisation that are today commonplace. At the same time, this trend calls for robust and automatic methods for 3D data ingestion, able to prepare the 3D models for the variety of operations that could be applied to the digital twins of artefacts. In this work, we present a 3D data ingestion procedure based on a fully automatic pipeline that cleans meshes from reconstruction defects and provides a suite of resolutions by down-sampling the meshes while preserving the geometric details and a method to transfer 3D annotations across model resolutions.
2019
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -
Computer graphics
Knowledge representation and reasoning
Shape model
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/393487
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