CULTURAL HERITAGE DIGITAL PRESERVATION THROUGH AI-DRIVEN ROBOTICS

被引:0
作者
Marchello, G. [2 ]
Giovanelli, R. [1 ,2 ,3 ]
Fontana, E. [2 ]
Cannella, F. [2 ]
Traviglia, A. [1 ]
机构
[1] Ist Italiano Tecnol, Ctr Cultural Heritage Technol, I-30172 Venice, Italy
[2] Ist Italiano Tecnol, Ctr Convergent Technol, Ind Robot Facil, I-16163 Genoa, Italy
[3] Ca Foscari Univ Venice, DSU, I-3246 Venice, Italy
来源
29TH CIPA SYMPOSIUM DOCUMENTING, UNDERSTANDING, PRESERVING CULTURAL HERITAGE. HUMANITIES AND DIGITAL TECHNOLOGIES FOR SHAPING THE FUTURE, VOL. 48-M-2 | 2023年
关键词
Digital Twins; Robotics; Computer Vision; Structure from Motion; Artificial Intelligence; Cultural Heritage; PHOTOGRAMMETRY; MOTION;
D O I
10.5194/isprs-archives-XLVIII-M-2-2023-995-2023
中图分类号
K85 [文物考古];
学科分类号
0601 ;
摘要
This paper introduces a novel methodology developed for creating 3D models of archaeological artifacts that reduces the time and effort required by operators. The approach uses a simple vision system mounted on a robotic arm that follows a predetermined path around the object to be reconstructed. The robotic system captures different viewing angles of the object and assigns 3D coordinates corresponding to the robot's pose, allowing it to adjust the trajectory to accommodate objects of various shapes and sizes. The angular displacement between consecutive acquisitions can also be fine-tuned based on the desired final resolution. This flexible approach is suitable for different object sizes, textures, and levels of detail, making it ideal for both large volumes with low detail and small volumes with high detail. The recorded images and assigned coordinates are fed into a constrained implementation of the structure-from-motion (SfM) algorithm, which uses the scale-invariant features transform (SIFT) method to detect key points in each image. By utilising a priori knowledge of the coordinates and SIFT algorithm, low processing time can be ensured while maintaining high accuracy in the final reconstruction. The use of a robotic system to acquire images at a pre-defined pace ensures high repeatability and consistency across different 3D reconstructions, eliminating operator errors in the workflow. This approach not only allows for comparisons between similar objects but also provides the ability to track structural changes of the same object over time. Overall, the proposed methodology provides a significant improvement over current photogrammetry techniques by reducing the time and effort required to create 3D models while maintaining a high level of accuracy and repeatability.
引用
收藏
页码:995 / 1000
页数:6
相关论文
共 23 条
[1]  
Chandler J. H., 2016, Geoscince Handbook 2016: AGI Data Sheets, V5
[2]  
Cosovic M., 2022, P 1 INT VIRT C VIRT
[3]  
Europeana Foundation, 2023, Common European data space for cultural heritage
[4]   COMPUTER AVERAGING OF ELECTRON-MICROGRAPHS OF 40S RIBOSOMAL-SUBUNITS [J].
FRANK, J ;
VERSCHOOR, A ;
BOUBLIK, M .
SCIENCE, 1981, 214 (4527) :1353-1355
[5]  
Gabellone F., 2022, Acta IMEKO, V11
[6]   Structure from Motion Photogrammetry in Forestry: a Review [J].
Iglhaut, Jakob ;
Cabo, Carlos ;
Puliti, Stefano ;
Piermattei, Livia ;
O'Connor, James ;
Rosette, Jacqueline .
CURRENT FORESTRY REPORTS, 2019, 5 (03) :155-168
[7]   A proposal of a new automated method for SfM/MVS 3D reconstruction through comparisons of 3D data by SfM/MVS and handheld laser scanners [J].
Kaneda, Akihiro ;
Nakagawa, Tomomi ;
Tamura, Kohei ;
Noshita, Koji ;
Nakao, Hisashi .
PLOS ONE, 2022, 17 (07)
[8]   THE STRUCTURE OF THE STALK SURFACE-LAYER OF A BRINE POND MICROORGANISM - CORRELATION AVERAGING APPLIED TO A DOUBLE LAYERED LATTICE STRUCTURE [J].
KESSEL, M ;
RADERMACHER, M ;
FRANK, J .
JOURNAL OF MICROSCOPY-OXFORD, 1985, 139 (JUL) :63-74
[9]   DETECTION AND PURGING OF SPECULAR REFLECTIVE AND TRANSPARENT OBJECT INFLUENCES IN 3D RANGE MEASUREMENTS [J].
Koch, R. ;
May, S. ;
Nuechter, A. .
3D VIRTUAL RECONSTRUCTION AND VISUALIZATION OF COMPLEX ARCHITECTURES, 2017, 42-2 (W3) :377-384
[10]  
Kucukelbir A, 2014, NAT METHODS, V11, P63, DOI [10.1038/nmeth.2727, 10.1038/NMETH.2727]