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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">inform</journal-id><journal-title-group><journal-title xml:lang="ru">Информатика</journal-title><trans-title-group xml:lang="en"><trans-title>Informatics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1816-0301</issn><issn pub-type="epub">2617-6963</issn><publisher><publisher-name>UIIP NASB</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">inform-232</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОБРАБОТКА СИГНАЛОВ, ИЗОБРАЖЕНИЙ, РЕЧИ, ТЕКСТА И РАСПОЗНАВАНИЕ ОБРАЗОВ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>SIGNAL, IMAGE, SPEECH, TEXT PROCESSING AND PATTERN RECOGNITION</subject></subj-group></article-categories><title-group><article-title>ОЦЕНКА ГЕОМЕТРИЧЕСКИХ ПАРАМЕТРОВ ТЕЛА ЧЕЛОВЕКА НА ОСНОВЕ ДАННЫХ СКАНИРОВАНИЯ С ПОМОЩЬЮ СЕНСОРА MICROSOFT KINECT</article-title><trans-title-group xml:lang="en"><trans-title>ESTIMATION OF HUMAN BODY SHAPE PARAMETERS USING MICROSOFT KINECTSENCOR</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Васильков</surname><given-names>Д. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Vasilkov</surname><given-names>D. M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Минск, ул. Академика Купревича, 1, к. 1</p></bio><email xlink:type="simple">dzmitry_vasilkou@epam.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>ИООО «ЭПАМ Системз»</institution><country>Belarus</country></aff><pub-date pub-type="collection"><year>2017</year></pub-date><pub-date pub-type="epub"><day>03</day><month>10</month><year>2017</year></pub-date><volume>0</volume><issue>3(55)</issue><fpage>82</fpage><lpage>91</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Васильков Д.М., 2017</copyright-statement><copyright-year>2017</copyright-year><copyright-holder xml:lang="ru">Васильков Д.М.</copyright-holder><copyright-holder xml:lang="en">Vasilkov D.M.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://inf.grid.by/jour/article/view/232">https://inf.grid.by/jour/article/view/232</self-uri><abstract><p>Предлагается технология оценки формы и размеров тела человека с помощью сенсора Microsoft Kinect. Данное устройство включает видеокамеру и глубинный сенсор, что позволяет для каждого пиксела изображения получить расстояние от объекта до фокуса камеры. Результатом сканирования является триангуляционная поверхность высокой плотности, содержащая множество шумов, которые проявляются в виде осцилляций, изолированных участков и дыр. При сканировании человека дополнительный шум создают складки и неровности одежды. Описана технология создания разреженной и регулярной триангуляционной 3D-модели тела человека (аватара) без указанных погрешностей, которая имеет параметры формы, осанки и основных метрик, близкие к параметрам сканируемого тела. Задача находит применение при индивидуальном пошиве одежды, а также в сфере компьютерных игр.</p></abstract><trans-abstract xml:lang="en"><p>In the paper a human body shape estimation technology based on scan data acquired from sensor controller Microsoft Kinect is described. This device includes an RGB camera and a depth sensor that provides, for each pixel of the image,a distance from the camera focus to the object. A scan session produces a triangulated high-density surface noised with oscillations, isolated fragments and holes. When scanning a human, additional noise comes from garment folds and wrinkles. An algorithm of creating a sparse and regular 3D human body model (avatar) free of these defects, which approximates shape, posture and basic metrics of the scanned body is proposed. This solution finds application in individual clothing industry and computer games, as well.</p></trans-abstract><funding-group><funding-statement xml:lang="ru">компания EPAM Systems</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Ju, X. Automatic segmentation of 3-D humanbody scans / X. Ju, N. Werghi, J.P. Siebert // IASTED Intern. Conf. 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