References

Dalmiya, C.P. and V.S. Dharun, 2015. A survey of registration techniques in remote sensing images. Indian J. Sci. Technol., 8: 1-5.
CrossRef  |  Direct Link  |  

Devernay, F. and O. Faugeras, 2001. Straight lines have to be straight. Mach. Vision Appl., 13: 14-24.
Direct Link  |  

Fitzgibbon, A.W., 2001. Simultaneous linear estimation of multiple view geometry and lens distortion. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Vol. 1, December 8-14, 2001, IEEE, Kauai, Hawaii, pp: I-125-I-132.

Furukawa, Y. and J. Ponce, 2010. Accurate, dense and robust multiview stereopsis. IEEE. Trans. Pattern Anal. Mach. Intell., 32: 1362-1376.
CrossRef  |  Direct Link  |  

Hartley, R. and A. Zisserman, 2000. Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge.

Hiep, V.H., R. Keriven, P. Labatut and J.P. Pons, 2009. Towards high-resolution large-scale multi-view stereo. Proceedings of the IEEE Conference on IEEE Computer Vision and Pattern Recognition CVPR, June 20-25, 2009, IEEE, Miami, Florida, ISBN:978-1-4244-3992-8, pp: 1430-1437.

Hosni, A., C. Rhemann, M. Bleyer, C. Rother and M. Gelautz, 2012. Fastcost-volume filtering for visual correspondence and beyond. IEEE. Trans. Pattern Anal. Mach. Intell., 35: 504-511.
CrossRef  |  Direct Link  |  

Kundukulam, E.J. and A. Sudharson, 2015. Implementing and optimizing template matching techniques for home automation. Indian J. Sci. Technol., 8: 1-6.
CrossRef  |  Direct Link  |  

Li, X., G. Wang and J. Liu, 2013. Automatic camera calibration method based on dashed lines. Proceedings of the 8th International Symposium on Multispectral Image Processing and Pattern Recognition, October 26, 2013, SPIE, Wuhan, China, pp: 892112-892112.

Lugang, Z., W. Chengke and N. Jifeng, 2014. A camera calibration method based on two orthogonal vanishing points. Concurrency Computat. Pract. Experience, 26: 1185-1199.
CrossRef  |  Direct Link  |  

Melegy, M.T.E. and A.A. Farag, 2003. Nonmetric lens distortion calibration: Closed-form solutions, robust estimation and model selection. Proceedings of the International Conference on Computer Vision, October 13-16, 2003, IEEE, Nice, France, pp: 554-559.

Sawhney, S.H. and R. Kumar, 1997. True multi-image alignment and its application to mosaicing and lens distortion correction. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, June 17-19, 1997, IEEE, San Juan, Puerto Rico, USA., pp: 450-456.

Sun, J., N.N. Zheng and H.Y. Shum, 2003. Stereo matching using belief propagatio. IEEE Trans. Pattern Anal. Mach. Intelli., 25: 787-800.
CrossRef  |  Direct Link  |  

Tombari, F., S. Mattoccia and L.D. Stefano, 2007. Segmentation-based adaptive support for accurate stereo correspondence. Proceedings of the IEEE Pacific-Rim Symposium on Image and Video Technology, December 17-19, 2007, Santiago de Chile, Chile, ISBN:978-3-540-77128-9, pp: 427-438.

Tsai, R.Y., 1987. 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: 323-344.
Direct Link  |  

Unal, G., A. Yezzi, S. Soatto and G. Slabaugh, 2007. A variational approach to problems in calibration of multiple cameras. IEEE. Trans. Pattern Anal. Mach. Intell., 29: 1322-1338.
CrossRef  |  Direct Link  |  

Zhang, Z., 2000. A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell., 22: 1330-1334.
Direct Link  |  

Zhao, H., Z. Wang, H. Jiang, Y. Xu and C. Dong, 2015. Calibration for stereo vision system based on phase matching and bundle adjustment algorithm. Opt. Lasers Eng., 68: 203-213.
Direct Link  |