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Correction of the refraction phenomenon in photogrammetric measurement systems

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents a method of correcting the effects caused by refraction phenomena in an optical measurement system. The correction algorithm proposed can be applied in many different photogrammetric applications affected by these effects. To validate this algorithm, a foot sole optical measurement system that uses several cameras to build a mesh of a foot sole has been used. This measurement system has six cameras that are protected by a safety glass that separates the cameras from the foot to be measured. The safety glass produces an air-glass-air interface that causes the refraction phenomena, producing deformations in the images. Due to the deformations it is impossible to obtain reliable metric information of the images captured using the measurement system. The developed correction algorithm is based on a grid layout and associated polynomials and makes it possible to correct the deformations and extract accurate metric information.
Rocznik
Strony
601--612
Opis fizyczny
Bibliogr. 16 poz., rys., tab., wykr.
Twórcy
autor
  • Universidad de Zaragoza, Department of Design and Manufacturing Engineering, Torres Quevedo Building, Maria de Luna 3, Zaragoza, 50018, Spain
  • Universidad de Zaragoza, Department of Design and Manufacturing Engineering, Torres Quevedo Building, Maria de Luna 3, Zaragoza, 50018, Spain
  • Universidad de Zaragoza, Department of Design and Manufacturing Engineering, Torres Quevedo Building, Maria de Luna 3, Zaragoza, 50018, Spain
  • Universidad de Zaragoza, Department of Design and Manufacturing Engineering, Torres Quevedo Building, Maria de Luna 3, Zaragoza, 50018, Spain
Bibliografia
  • [1] Kunz, CM Singh, H. (2009). Hemispherical refraction and camera calibration in underwater vision. Oceans ‘08 MTS/IEEE, Kobe, Japan, 1-7.
  • [2] Kwon, Y.H., Lindley, S.L. (2001). Applicability of four localized-calibration methods in underwater motion analysis. XVIII Int. Symp. Biomeck Sports, Hong Kong, China.
  • [3] Tsai, R.Y. (19S7). A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses. IEEE J. Robot. Autom., 3(4), 323-344.
  • [4] Abdel-Aziz, Y.I., Karara, H.M. Direct linear transformation from comparator coordinates into object space coordinates in close-range photogrammetry. Proc. Symp. Close-Range Photogramm., Falls Church, USA, 1-18.
  • [5] Faugeras, O. (1993). Three-Dimensional Computer Vision: A Geometric Viewpoint. Cambridge: MIT Press.
  • [6] Kwon, Y.H. (2000). A camera calibration algorithm for the underwater motion analysis. ScL Proc. XVII Int. Symp. Biomech. Sports, Perth, Australia, 257-260.
  • [7] Treibitz, T., Schechner, Y.Y., Singh, H. (2008). Flat refractive geometry. IEEE Trans. Pattern Recognit. Anal. Mach. Intell., 34(1), 23-28.
  • [8] Drenk, V., Hildebrand, F., Kindler, M., Kliche, D. (2000). A 3D video technique for analysis of swimming in a flume. Sci. Proc. XVII Int. Symp. Biomech. Sports, Perth, Australia, 361-364.
  • [9] Fan, Y., Huang, G., Qin, G., Chen, Z. (2012). Underwater photogrammetric theoretical equations and technique.VII Int. Symp. Precis. Eng. Meas. Instrum., 832113.
  • [10] Georgopoulos, A., Agraftotis, P. (2012). Documentation of a submerged monument using improved two media techniques. 18th Int. Conf. Virtual Systems and Multimedia, 173-180.
  • [11] Murase, T., Tanaka, M., Tani, T., Miyashita, Y., Ohkawa, N., Ishiguro, S., Suzuki, Y., Kayanne, H., Yamano, H. (2008). A photogrammetric correction procedure for light refraction effects at a two-medium boundary. Photogramm. Eng. Remote Sens., 74(9), 1129-1136.
  • [12] Telem, G., Filin, S., (2010). Photogrammetric modeling of underwater environments. ISPRS J. Photogramm. Remote Sens., 65(5), 433-444.
  • [13] Aguilar, J.J., Lope, M., Torres, F., Blesa, A. (2005). Development of a stereo vision system for non-contact railway concrete sleepers measurement based in holographic optical elements. Measurement, 38(2), 154-165.
  • [14] Velat, J.S., Lee, J., Johnson, N., Crane, CD. (2007). Vision based vehicle localization for autonomous navigation. Int. Symp. Comp. Intell. Robot. Autom. CIRA2007, Jacksonville, USA, 528-533.
  • [15] Lin, C.S., Chen, C.T., Wei, T.C., Chen, W.L., Chang, C.C. (2010). A positioning model of a two CCD camera coordinate system with an alternate-four-matrix look-up table algorithm. Opt. Lasers Eng., 48(12), 1193-1199.
  • [16] Marcenaro, L., Vemazza, G., Regazzoni, C.S. (2002). Image stabilization algorithms for video-surveillance applications. Int. Conf. Image Process., Thessaloniki, Greece, 7-10.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3ee50465-6585-4d12-9597-51c3d56b8e26
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