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Title: Automatic 3D human body Detection and Modelling: магистерская диссертация: 09.04.01
Creators: Кархеили Сомар
Scientific adviser: Кучмин Андрей Юрьевич
Organization: Санкт-Петербургский политехнический университет Петра Великого. Институт компьютерных наук и технологий
Imprint: Санкт-Петербург, 2016
Collection: Выпускные квалификационные работы; Общая коллекция
Subjects: Распознающие системы и устройства; Электронные моделирующие устройства; Машинная графика; 3D моделирование; определение человеческой позы; 3D modeling; definition of human poses
UDC: 004.383.4(043.3); 004.932.72'1(043.3)
Document type: Master graduation qualification work
File type: PDF
Language: Russian
Speciality code (FGOS): 09.04.01
Speciality group (FGOS): 090000 - Информатика и вычислительная техника
DOI: 10.18720/SPBPU/2/v16-1670
Rights: Свободный доступ из сети Интернет (чтение, печать, копирование)

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We introduce 3-layer adaptive system, which uses known techniques in human detection in layer 1 (such as NN and HOG), and pass the results (human area) into layer 2, which extracts the contour and deforms it into its parts in order to estimate the human pose, using a knowledge base and mathematical equations that constraint the natural human poses, and assign correctness parameters to every result depending on constraints satisfactions. after that, the results and parameters are sent to layer 3 that holds the statistical information about the system work, and constructs the 3D model of the body, and controls each method weight due to its effectiveness.

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