Colouring LiDAR Point Cloud of Wall Paintings From Images Based on ICP

The sustainability of cultural heritage is one of the grand challenges of the contemporary world. Part of preservation is long-term monitoring, and LiDAR techniques are exceptionally useful. Despite all its advantages LiDAR is still not perfect, as individual points do not have a specific colour. This paper outlines a method for applying color to a LiDAR point cloud of a wall painting using images, leveraging the ICP algorithm. The results demonstrate that the proposed methodology is effective for applying colour to the LiDAR point cloud of wall paintings.

Authors

Institutions

Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/ic3it63743.2024.10869409
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Colouring LiDAR Point Cloud of Wall Paintings From Images Based on ICP

David Jesenko, Matej Dolenec, Marko Bizjak, Andreja Pondelak et al.
3D Surveying and Cultural Heritage
article

Colouring LiDAR Point Cloud of Wall Paintings From Images Based on ICP

David Jesenko, Matej Dolenec, Marko Bizjak, Andreja Pondelak, Andraž Krivic, Aljaž Žel, Ana Brunčič
article en

Abstract

The sustainability of cultural heritage is one of the grand challenges of the contemporary world. Part of preservation is long-term monitoring, and LiDAR techniques are exceptionally useful. Despite all its advantages LiDAR is still not perfect, as individual points do not have a specific colour. This paper outlines a method for applying color to a LiDAR point cloud of a wall painting using images, leveraging the ICP algorithm. The results demonstrate that the proposed methodology is effective for applying colour to the LiDAR point cloud of wall paintings.

University of Maribor (SI), IGEA (Slovenia) (SI), Slovenian National Building and Civil Engineering Institute (SI)
Sustainable cities and communities
Openalex Percentile: Top 49%
3D Surveying and Cultural Heritage
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.