Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

A pipeline for the preparation of artefacts that provides annotations persistence

Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
Computer graphics; Knowledge representation and reasoning; Shape model
List of contributors:
Scalas, Andreas; Spagnuolo, Michela; Mortara, Michela
Authors of the University:
MORTARA MICHELA
SPAGNUOLO MICHELA
Handle:
https://iris.cnr.it/handle/20.500.14243/393487
Published in:
JOURNAL OF CULTURAL HERITAGE
Journal
  • Overview

Overview

URL

https://www.sciencedirect.com/science/article/pii/S1296207418306125?via%3Dihub
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.1.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)