[HTML][HTML] Survey and literature study to provide insights on the application of 3D technologies in objects conservation and restoration

L Acke, K De Vis, S Verwulgen, J Verlinden - Journal of Cultural Heritage, 2021 - Elsevier
Abstract 3D technologies, including data acquisition, digital modelling and manufacturing,
have been used in the context of cultural heritage (CH) since the 1990′ s. A general state …

Fantastic breaks: A dataset of paired 3d scans of real-world broken objects and their complete counterparts

N Lamb, C Palmer, B Molloy… - Proceedings of the …, 2023 - openaccess.thecvf.com
Automated shape repair approaches currently lack access to datasets that describe real-
world damaged geometry. We present Fantastic Breaks (and Where to Find Them …

Digital restoration of cultural heritage with data-driven computing: A survey

A Basu, S Paul, S Ghosh, S Das, B Chanda… - IEEE …, 2023 - ieeexplore.ieee.org
Digitized methodologies in the recent era contribute to various fields of automation that used
to hold different interests and meanings of human life. Buildings with historical significance …

Deepzzle: Solving visual jigsaw puzzles with deep learning and shortest path optimization

MM Paumard, D Picard, H Tabia - IEEE Transactions on Image …, 2020 - ieeexplore.ieee.org
We tackle the image reassembly problem with wide space between the fragments, in such a
way that the patterns and colors continuity is mostly unusable. The spacing emulates the …

An overview of innovative heritage deliverables based on remote sensing techniques

M Bassier, S Vincke, R de Lima Hernandez… - Remote Sensing, 2018 - mdpi.com
The documentation and information representation of heritage sites is rapidly evolving. With
the advancements in remote sensing technology, increasingly more heritage projects look to …

Data-driven restoration of digital archaeological pottery with point cloud analysis

I Sipiran, A Mendoza, A Apaza, C Lopez - International Journal of …, 2022 - Springer
Abstract The Josefina Ramos de Cox museum in Lima, Peru, decided to digitize hundreds of
archaeological pieces from pre-Colombian cultures to support further research and create …

Deepjoin: Learning a joint occupancy, signed distance, and normal field function for shape repair

N Lamb, S Banerjee, NK Banerjee - ACM Transactions on Graphics …, 2022 - dl.acm.org
We introduce DeepJoin, an automated approach to generate high-resolution repairs for
fractured shapes using deep neural networks. Existing approaches to perform automated …

3D reconstruction of incomplete archaeological objects using a generative adversarial network

R Hermoza, I Sipiran - Proceedings of Computer Graphics International …, 2018 - dl.acm.org
We introduce a data-driven approach to aid the repairing and conservation of
archaeological objects: ORGAN, an object reconstruction generative adversarial network …

Matchmakernet: Enabling fragment matching for cultural heritage analysis

AM Villegas-Suarez, C Lopez… - Proceedings of the …, 2023 - openaccess.thecvf.com
Automating the reassembly of fragmented objects is a complex task with applications in
cultural heritage preservation, paleontology, and medicine. However, the matching subtask …

Solving archaeological puzzles

N Derech, A Tal, I Shimshoni - Pattern Recognition, 2021 - Elsevier
This paper focuses on the re-assembly of an archaeological artifact, given images of its
fragments. This problem can be considered as a special challenging case of puzzle solving …