In this paper we discuss and analyze existing methods of three-dimensional scene reconstruction from several images.
трехмерная реконструкция, трехмерная модель, калибровка камеры, характерные черты изображения, three-dimensional reconstruction, three-dimensional model, camera calibration, the characteristics of the image
1. Aun S., Sharnin L.M., Kirpichnikov A.P. Informacionno-izmeritel'naya sistema slezheniya za dvizhuschimisya ob'ektami //Vestnik Kazanskogo tehnologicheskogo universiteta. - Kazan': KNITU, 2011. - T. 14. №16. - S. 224-232.
2. Mokshin V.V., Kirpichnikov A.P., Sharnin L.M. Otslezhivanie ob'ektov v videopotoke po znachimym priznakam na osnove fil'tracii chastic //Vestnik Kazanskogo tehnologicheskogo universiteta. - Kazan': KNITU, 2013. - T. 16. №18. - S. 297-303.
3. M. Pollefeys, R. Koch and L. Van Gool, “Self-Calibration and Metric Reconstruction inspite of Varying and Unknown Internal Camera Parameters”, Proc. International Conference on Computer Vision, Narosa Publishing House, s.90-95, 1998.
4. C. Harris and M. Stephens, “A combined corner and edge detector”, Fourth Alvey Vision Conference, s.147-151, 1988.
5. Lowe, D. G., “Distinctive Image Features from Scale-Invariant Keypoints”, International Journal of Computer Vision, 60, 2, s. 91-110, 2004.
6. Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc Van Gool "SURF: Speeded Up Robust Features", Computer Vision and Image Understanding (CVIU), Vol. 110, No. 3, s. 346-359, 2008
7. C. Schmid and A. Zisserman, “Automatic Line Matching across Views”, Proc. IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer Soc. Press, s. 666-671, 1997.
8. C. Tomasi and T. Kanade, “Shape and motion from image streams under orthography: A factorization approach”, International Journal of Computer Vision,9(2): c. 137-154, 1992.
9. D. Jacobs, “Linear Fitting with Missing Data; Applications to Structure-from-Motion and to Characterizing Intensity Images”, Proc. IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer Society press, s. 206-212, 1997.
10. Sebastien Roy and Ingemar J. Cox. A maximum-flow formulation of the n-camera stereo correspondence problem. In IEEE. Proc. of Int. Conference on Computer Vision.
11. Shapiro L., Stokman Dzh. Komp'yuternoe zrenie. - M.: BINOM. Laboratoriya znaniy, 2006. - 752 s.
12. Let's build a stereoscope. Giorgio Carboni, April 1996. http://www.funsci.com/fun3_en/stscp/stscp.ht
