UAV platforms and the SfM-MVS approach in the 3D surveys and modelling: A review in the cultural heritage field

M Pepe, VS Alfio, D Costantino - Applied Sciences, 2022 - mdpi.com
In recent years, structure from motion (SfM) and multi-view stereo (MVS) algorithms have
been successfully applied to stereo images generated by cameras mounted on unmanned …

[HTML][HTML] Artificial intelligence-assisted visual inspection for cultural heritage: State-of-the-art review

M Mishra, PB Lourenço - Journal of Cultural Heritage, 2024 - Elsevier
Applying computer science techniques such as artificial intelligence (AI), deep learning (DL),
and computer vision (CV) on digital image data can help monitor and preserve cultural …

Bfd-Yolo: A Yolov7-based detection method for building façade defects

G Wei, F Wan, W Zhou, C Xu, Z Ye, W Liu, G Lei, L Xu - Electronics, 2023 - mdpi.com
Façade defects not only detract from the building's aesthetics but also compromise its
performance. Furthermore, they potentially endanger pedestrians, occupants, and property …

Deterioration detection in historical buildings with different materials based on novel deep learning methods with focusing on Isfahan historical bridges

N Karimi, N Valibeig, HR Rabiee - International Journal of …, 2024 - Taylor & Francis
Historical bridges comprise part of any society's history, culture, and identity and reveal the
manufacturing technology of hydraulic structures at their time. Nevertheless, these structures …

Multi-label classification and automatic damage detection of masonry heritage building through CNN analysis of infrared thermal imaging

H Seo, AD Raut, C Chen, C Zhang - Remote Sensing, 2023 - mdpi.com
In the era of the first Industrial Revolution, many buildings were built with red bricks, and the
heritage buildings built at that time are more than 100 years old. In these old heritage …

Automatic detection and recognition method of Chinese clay tiles based on YOLOv4: a case study in Macau

L Zheng, Y Chen, L Yan, Y Zhang - International Journal of …, 2023 - Taylor & Francis
With the rapid growth of global urbanization and the rising demand for sustainable
development, it is essential to study the performance and durability of building materials. As …

Automated surface crack detection in historical constructions with various materials using deep learning-based YOLO network

N Karimi, M Mishra, PB Lourenço - International Journal of …, 2024 - Taylor & Francis
Cultural heritage (CH) constructions involve the use of diverse masonry materials. Under
natural and human influences, masonry materials can undergo various types of damages …

Automatic recognition of craquelure and paint loss on polychrome paintings of the Palace Museum using improved U-Net

Q Yuan, X He, X Han, H Guo - Heritage Science, 2023 - Springer
Craquelure is the most common defect on ancient polychrome paintings, which may
deteriorate further to paint loss. Previous image processing methods, which can accurately …

[HTML][HTML] Deep learning-based automated tile defect detection system for Portuguese cultural heritage buildings

N Karimi, M Mishra, PB Lourenço - Journal of Cultural Heritage, 2024 - Elsevier
A prominent feature in Portuguese historic architecture is Portugal's azulejos or tiles that
cover cultural heritage buildings with colorful patterns. However, tiles are prone to …

Faster R-CNN-CA and thermophysical properties of materials: An ancient marquetry inspection based on infrared and terahertz techniques

G Jiang, P Zhu, S Sfarra, G Gargiulo… - Infrared Physics & …, 2024 - Elsevier
The demand for non-invasive inspection (NII) is ever-increasing in the field of cultural
heritage conservation. NII is a two-step procedure, first of data acquisition and second of …