Data preparation methods for recovering three-dimensional structure of the scene
Автор: Taranenko Sergey Sergeyevich, Kovalev Oleg Fedorovich
Журнал: Вестник Донского государственного технического университета @vestnik-donstu
Рубрика: Технические науки
Статья в выпуске: 3 (78) т.14, 2014 года.
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The problem of data preparation to recover the three-dimensional structure of the scene including points, segments, straight lines, etc., using video obtained from a moving camera around a static scene is considered. Based on the analysis of the existing methods, the methodology and algorithm of the data selection and preparation for recovering the three-dimensional scene structure are provided. Canny filter and Sobel operator complemented with calculating the algorithm SURF (Speeded Up Robust Feature) descriptors is taken as a basis. To filter noise from frames, wavelet filters are proposed. This allows obtaining an object contour extraction algorithm in the frame, and its comparison with the object contour in the next frame, which is the input data for the majority of algorithms of the three-dimensional scene reconstruction.
Surf (speeded up robust feature), singular points, three-dimensional structure, kalman filter, canny filter, non-maxima suppression, scene, gradient, camera-obscura
Короткий адрес: https://sciup.org/14250082
IDR: 14250082 | DOI: 10.12737/5717