Application of 3D Scanned Big Data of Large-scale Cultural Heritage Objects Based on Noise-robust Transparent Visualization

Authors

Tanaka Satoshi, College of Information Science and Engineering, Ritsumeikan University, Shiga 525-8577, Japan

Abstract

Abstract: Three-dimensional (3D) scanning technology has undergone remarkable developments in recent years. Data acquired by 3D scanning have the form of 3D point clouds. The 3D scanned point clouds have data sizes that can be considered big data. They also contain measurement noise inherent in measurement data. These properties of 3D scanned point clouds make many traditional CG/visualization techniques difficult. This paper reviewed our recent achievements in developing varieties of high-quality visualizations suitable for the visual analysis of 3D scanned point clouds. We demonstrated the effectiveness of the method by applying the visualizations to various cultural heritage objects. The main visualization targets used in this paper are the floats in the Gion Festival in Kyoto (the float parade is on the UNESCO Intangible Cultural Heritage List) and Borobudur Temple in Indonesia (a UNESCO World Heritage Site).

Recommended Citation

Satoshi, Tanaka (2023) "Application of 3D Scanned Big Data of Large-scale Cultural Heritage Objects Based on Noise-robust Transparent Visualization," Journal of System Simulation: Vol. 35: Iss. 8, Article 1.
DOI: 10.16182/j.issn1004731x.joss.23-0480
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss8/1

First Page

1635

Last Page

1650

CLC

TP391

Recommended Citation

Tanaka Satoshi. Application of 3D Scanned Big Data of Large-scale Cultural Heritage Objects Based on Noise-robust Transparent Visualization[J]. Journal of System Simulation, 2023, 35(8): 1635-1650.

DOI

10.16182/j.issn1004731x.joss.23-0480