Camera parameters estimation from pose detections
Автор: Shalimova Ekaterina Alekseevna, Shalnov Evgeny Vadimovich, Konushin Anton Sergeevich
Журнал: Компьютерная оптика @computer-optics
Рубрика: Обработка изображений, распознавание образов
Статья в выпуске: 3 т.44, 2020 года.
Бесплатный доступ
Some computer vision tasks become easier with known camera calibration. We propose a method for camera focal length, location and orientation estimation by observing human poses in the scene. Weak requirements to the observed scene make the method applicable to a wide range of scenarios. Our evaluation shows that even being trained only on synthetic dataset, the proposed method outperforms known solution. Our experiments show that using only human poses as the input also allows the proposed method to calibrate dynamic visual sensors.
Camera calibration, dynamic vision sensor, video surveillance
Короткий адрес: https://sciup.org/140250002
IDR: 140250002 | DOI: 10.18287/2412-6179-CO-600
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