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OVERVIEW AND CHALLENGES OF USING DEEP LEARNING FOR THREE-DIMENSIONAL ESTIMATION OF A PERSON'S POSTURE FROM A SINGLE IMAGE

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Лямцев Олег Алексеевич – стажер-исследователь ФГБНУ "Институт прикладной математики и механики", ул. Розы Люксембург, 74, Донецк, 283048, Россия, бакалавр кафедры компьютерных технологий ФГБОУ ВО «ДонГУ», ул. Университетская, 24, Донецк, 283001, Россия. Область научных интересов: компью- терное зрение, машинное обучение, нейронные сети. Число научных публикаций – 5.

Максименко Игорь Иванович – заведующий отделом теории управляющих систем ФГБНУ "Институт прикладной математики и механики", ул. Розы Люксембург, 74, Донецк, 283048, Россия, доцент кафедры компьютерных технологий физико- технического факультета ФГБОУ ВО «ДонГУ», ул. Университетская, 24, Донецк, 283001, Россия. Область научных интересов: теория автоматов, теория графов, системы искусственного интеллекта. Число научных публикаций – более 40.

UDC: 004.932.2
DOI: 10.24412/2413-7383-2025-4-39-49-59
Language: Russian

Abstract: The article considers the task of 3D human pose estimation from monocular image, provides a mathematical description, highlights the main approaches, problems in the task and their solutions, neural network architectures. Among neural network architectures, graph convolutional networks are the most popular, extracting local information from nearby joints and transformers, modeling global dependencies through the internal attention mechanism. Among the key problems in solving the task, we can distinguish: 1) depth uncertainty; 2) occlusion; 3) insufficient volume and diversity of training data.

Keywords: 3D human pose estimation, computer visi on, deep learning, neural networks, monocular image

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Issue: 4(39)'2025
Section: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
How to cite: O. A. Lyamtsev1,2, I. I. Maksimenko1,2. OVERVIEW AND CHALLENGES OF USING DEEP LEARNING FOR THREE-DIMENSIONAL ESTIMATION OF A PERSON'S POSTURE FROM A SINGLE IMAGE // Problems of Artificial Intelligence. - 2025. - № 4 (39). - P. 49-59. - https://paijournal.guiaidn.ru/en/2025/4(39)-5.html