Zacytuj

M. Okutomi, T. Kanade, “A multiple-baseline stereo,” Computer Vision and Pattern Recognition, Proceedings CVPR ‘ IEEE Computer Society Conference on, vol, no, Jun 1991, pp.63-69.Search in Google Scholar

G.L. Gao, D.L. Li, S.H. Shang, “New Method of Cotton Flow Speed Detection Based on Area CCD”, Sensor Letters, Volume 8, Number 1, February 2010, pp. 32-39.10.1166/sl.2010.1196Search in Google Scholar

W. Zhang, X. Cao, E. Sung, “A feature-based matching scheme: MPCD and robust matching strategy. Pattern Recognition Letters”, 2007, pp. 1222-1231.10.1016/j.patrec.2007.02.004Search in Google Scholar

H.C. Longuet-Higgins, “ A computer algorithm for reconstructing a scene from two projections”, Nature, Vol. 293, Sep 1981, pp. 133-135.10.1038/293133a0Search in Google Scholar

H. Harlyn Baker, Thomas O. Binford, “Depth from edge and intensity based stereo”, Proceedings of the 7th international joint conference on Artificial intelligence, Vancouver, BC, Canada, August, 1981, pp. 631-636.Search in Google Scholar

D. Marr and T. Poggio., “A Computational Theory of Human Stereo Vision”, Proc. Royal Society of London, Vol. 204 of B, 1979, pp. 301-328.10.1098/rspb.1979.0029Search in Google Scholar

C.H. Kuo, F.C. Huang, F.C. Yang, ““evelopment of active IR-based surgical marker tracking and positioning systems”, Systems, Man and Cybernetics, IEEE International Conference on, vol.3, no., Oct. 2005, pp. 2443-2448.Search in Google Scholar

S.S. Chawathe, “Marker-Based Localizing for Indoor Navigation”, IEEE Intelligent Transportation Systems Conference, 2007, vol., no., Sept 2007, pp. 885-890,.10.1109/ITSC.2007.4357816Search in Google Scholar

P. Zhou, Y. Liu, Y.T. Wang, “Multiple infrared markers based real-time stereo vision positioning system for surgical navigation”, Instrumentation and Measurement Technology Conference, 2009.Search in Google Scholar

M. Galo, C.L. Tozzi, “The concept of matching parallelepiped and its use in the correspondence problem”, Image Processing, International Conference on, vol.4, no, 1999, pp.410-414.Search in Google Scholar

Z.Y. Zhang, “Determining the epipolar geometry and its uncertainty: A review”, International Journal of Computer Vision, Vol.27, No.2, 1998, pp. 161-198.Search in Google Scholar

A. M. M. Muijtjens, J. M. A. Roos, T. Arts, A. Hasman, R. S. Reneman, “Simultaneous estimation of stereo correspondence and camera geometry from marker tracks”, Computers in Cardiology, vol., no., Sep 1995, pp. 577-580,Search in Google Scholar

J. A. Denton, J. R. Beveridge, “An algorithm for projective point matching in the presence of spurious points”, Pattern Recognition, Volume 40, Issue 2, February 2007, pp. 586-595.10.1016/j.patcog.2006.04.031Search in Google Scholar

R.I. Hartley, “Lines and Points in Three Views and the Trifocal Tensor”, International Journal of Computer Vision 1997, pp. 125-140.Search in Google Scholar

S. De Amici, A. Sanna, F. Lamberti, B. Pralio, “A Wii remote-based infrared-optical tracking system”, Entertainment Computing, Volume 1, Issues 3-4, December 2010, pp. 119-124.10.1016/j.entcom.2010.08.001Search in Google Scholar

F.Z. Wu, “Mathematical Methods in Computer Vision”, Science Press, Beijing, China, 2008.Search in Google Scholar

Fornasini, Paolo, “The uncertainty in physical measurements: an introduction to data analysis in the physics laboratory”, Springer, Germany, 2008.10.1007/978-0-387-78650-6Search in Google Scholar

P. Torr and A. Zisserman. “Robust Parameterization and Computation of the Trifocal Tensor”,. Image and Vision Computing, 1997, pp. 591-607.10.1016/S0262-8856(97)00010-3Search in Google Scholar

J. Zhang, F.H. Shi, Y.C. Liu, “Motion Segmentation by Multibody Trifocal Tensor Using Line Correspondence”, Pattern Recognition. ICPR 2006. 18th International Conference on, vol.1, no., 2006, pp. 599-602.Search in Google Scholar

T. Molinier, D. Fofi, F. Meriaudeau, and R. Seulin, “Trifocal tensor as a tool for modeling an imperceptible structured light sensor”, J. Opt. Technol, 2007, pp. 282-287.10.1364/JOT.74.000282Search in Google Scholar

R. Vida, R. Hartley, “Three-View Multibody Structure from Motion”, Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.30, no.2, Feb. 2008, pp. 214-227.10.1109/TPAMI.2007.117918084054Search in Google Scholar

eISSN:
1178-5608
Język:
Angielski
Częstotliwość wydawania:
Volume Open
Dziedziny czasopisma:
Engineering, Introductions and Overviews, other