DATA PREPARATION METHODS FOR RECOVERING THREE-DIMENSIONAL STRUCTURE OF THE SCENE
Abstract
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.
About the Authors
Sergey Sergeyevich Taranenko
Platov South-Russian State Polytechnic University (NPI), Russia
Russian Federation
Russian Federation
Oleg Fedorovich Kovalev
Platov South-Russian State Polytechnic University (NPI), Russia
Russian Federation
Russian Federation
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Review
For citations:
Taranenko S.S., Kovalev O.F. DATA PREPARATION METHODS FOR RECOVERING THREE-DIMENSIONAL STRUCTURE OF THE SCENE. Vestnik of Don State Technical University. 2014;14(3):145-151. (In Russ.) https://doi.org/10.12737/5717
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