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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">gyroscopy</journal-id><journal-title-group><journal-title xml:lang="ru">Гироскопия и навигация</journal-title><trans-title-group xml:lang="en"><trans-title>Giroskopiya i Navigatsiya / Gyroscopy and Navigation</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0869-7035</issn><issn pub-type="epub">2075-0927</issn><publisher><publisher-name>AO «Концерн «ЦНИИ «Электроприбор»</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">gyroscopy-539</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>Статьи</subject></subj-group></article-categories><title-group><article-title>Гироскоп на основе монокулярной камеры</article-title><trans-title-group xml:lang="en"><trans-title></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>Хуттунен</surname><given-names>В.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Хуттунен Вилли, студент </p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Пише</surname><given-names>Р.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Пише Роберт, доктор наук, профессор </p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Технический университет (г. Тампере)</institution><country>Finland</country></aff><pub-date pub-type="collection"><year>2012</year></pub-date><pub-date pub-type="epub"><day>05</day><month>03</month><year>2026</year></pub-date><volume>20</volume><issue>2</issue><fpage>69</fpage><lpage>81</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Хуттунен В., Пише Р., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Хуттунен В., Пише Р.</copyright-holder><copyright-holder xml:lang="en">Хуттунен В., Пише Р.</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://www.gyroscopy.ru/jour/article/view/539">https://www.gyroscopy.ru/jour/article/view/539</self-uri><abstract><p>Представлен метод определения трехмерной ориентации монокулярной камеры с использованием точек схождения перспективы (ТСП), обнаруженных в последовательностях изображений. Устойчивое обнаружение ТСП в реальном времени осуществляется с использованием стандартного метода выделения сегментов линий (СЛ) и адаптивного алгоритма RANSAC. ТСП и соответствующие им направления, обнаруженные в последовательных кадрах, связываются друг с другом для построения последовательности кватернионов ориентации, которая обрабатывается расширенным фильтром Калмана. Экспериментами с мобильным телефоном показано, что точность предложенного метода сопоставима с точностями методов, использующих механические датчики движения потребительского класса точности.</p></abstract><trans-abstract xml:lang="en"><p>We present a method for tracking the 3-axis orientation of a monocular camera using orthogonal vanishing points detected in individual frames of a sequence of images. Ro-bust and real-time vanishing point detection is done using a standard line segment detection method and an adaptive RANSAC algorithm. Vanishing points and corresponding vanishing directions found in consecutive frames are associated with each other to produce a sequence of orientation quaternions, which is processed by an extended Kalman filter. Experiments with a consumer-level, handheld mobile device indicate that the accuracy of the proposed method is comparable with those of consumer-grade mechanical motion sensors.</p></trans-abstract><kwd-group xml:lang="en"><kwd>Computer vision</kwd><kwd>indoor navigation</kwd><kwd>vanishing points</kwd><kwd>orientation estimation</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">M. Antone and S. Teller. Automatic recovery of relative camera rotations for urban scenes. In Proceedings of IEEE Conference of Computer Vision and Pattern Recognition (CVPR’00), pages 282-289, Hilton Head, SC, USA, 2000.</mixed-citation><mixed-citation xml:lang="en">M. Antone and S. 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