- Date and Time
- March 13, 2025 9:00-11:40
Event Details
The SANTO Project 2024 "3D Data and Deep Learning in Archaeology and Museology" has been conducting basic research on the application of 3D data and deep learning to archaeological research. In this international seminar, we will invite three people from Universidad del Valle de Guatemala, a partner institution of Kanazawa University, who are applying 3D data to museum activities, to share examples of the application of 3D data and deep learning to archaeology and museology, and discuss future research and utilization of 3D data.
Date and time: March 13, 2025 (Japan time)
March 12, 2025 (Guatemalan time)
How to participate: click here for online participation.
Languages: English, Spanish (no interpretation provided)
【Program】
9:00-9:05 (18:00-18:05 Guatemala time) Opening remarks
9:05-9:30(18:05-18:30) Hayata Inoue (Nagoya University): 3D Data and Museum Education Activities Using 'Culpticon'.
9:30-9:55(18:30-18:55) Wataru Tatsuda, Kimiyasu Morikawa, Akira Ichikawa (Kanazawa University): A preliminary 3D point cloud analysis of southern Maya pottery using deep learning
9:55-10:00(18:55-19:00) Short break
10:00-10:25(19:00-19:25) Diego Lopez (Universidad del Valle, Guatemala): Development of a Virtual Ceramic Collection and Exhibition Spaces for the Semetabaj Archaeological Project and the San Andrés Semetabaj Ecomuseum
10:25-10:50(19:25-19:50) Marisabel Jarquín (Universidad del Valle, Guatemala): Tecnologías emergentes blockchain y rfid para museos arqueológicos
10:50-11:15(19:50-20:15) Manuel Mendoza (Universidad del Valle, Guatemala) Implementación de Realidad Virtual en el Ecomuseo de San Andrés Semetabaj
11:15-11:20(20:15-20:20) Short break
11:20-11:40(20:20-20:40) Discussion
Organized by Brilliant Lantern Project 2024
Co-organized by Kanazawa University Institute for the Study of Ancient Civilizations and Cultural Resources
- Participation Fee
- Free of Charge
Contact
Institute for the Study of Ancient Civilizations and Cultural Resources Akira Ichikawa
E-mai: akiraichikawa@staff.kanazawa-u.ac.jp