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  • Опыт съемки и визуализации предметов малых размеров на примере пальмирских тессер из собрания ГМИИ им. А.С. Пушкина
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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Опыт съемки и визуализации предметов малых размеров на примере пальмирских тессер из собрания ГМИИ им. А.С. Пушкина

Археология евразийских степей. 2025. № 2. С. 145–153.
Bodrova M., Lyavdansky A.

This article presents the experience of photogrammetric modeling of nine small archaeological objects from the collection of the Pushkin State Museum of Fine Arts. The subjects of the study are tesserae with shallow stamps and signs of wear, which required the use of macro photography and specialized image processing algorithms to achieve high detail. The technical aspects of the capture process are discussed, including the use of a camera with a macro lens and motorized rails for stabilization. The article also analyzes model processing methods, such as the use of the MSII to enhance the readability of inscriptions and images. Challenges encountered during the modeling of objects with worn surfaces are addressed, and solutions for improving visualization quality are proposed. The results demonstrate new possibilities in creating highly detailed models for scientific work with museum artifacts.

Research target: History and Archeology Philology and Linguistics
Language: Russian
Full text
DOI
Text on another site
Keywords: трехмерное моделированиеphotogrammetryфотограмметрия3D Modelingцифровое документированиеMulti-Scale Integral Invariant (MSII)digital documentationtesseraemodeling of small inscribed objectsтессерыалгоритм MSIIмоделирование объектов малых размеров
Publication based on the results of:
Семитская эпиграфика в цифровую эпоху (2024)
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