[1]
J. Salvi, S. Fernandez, T. Pribanic, and X. Llado. A state of the art in structured light patterns for surface profilometry. Pattern Recognition, 43(8): 2666-2680, (2010).
DOI: 10.1016/j.patcog.2010.03.004
Google Scholar
[2]
X. Zhang and L. Zhu. Projector calibration from the camera image point of view. Optical Engineering, 48: 117-208, (2009).
Google Scholar
[3]
M. Kimura, M. Mochimary, and T. Kanade. Projector calibration using arbitrary planes and calibrated camera. CVPR, (2007).
DOI: 10.1109/cvpr.2007.383477
Google Scholar
[4]
Ivan Martynov, Joni-Kristian Kämäräinen, and Lasse Lensu. Projector calibration by inverse camera calibration,. In Scandinavian Conf. on Image Analysis (SCIA), (2011).
DOI: 10.1007/978-3-642-21227-7_50
Google Scholar
[5]
J.P. Tardif. Non-iterative approach for fast and accurate vanishing point detection. IEEE 12th International Conference on Computer Vision, pages 1250-1257, (2009).
DOI: 10.1109/iccv.2009.5459328
Google Scholar
[6]
R. I. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision - 2nd Edition. Cambridge University Press, (2004).
Google Scholar
[7]
E. Guillou, D. Meneveaux, E. Maisel, and K. Bouatouch. Using vanishing points for camera calibration and coarse 3D reconstruction from a single image. The Visual Computer, 16: 396- 410, (2000).
DOI: 10.1007/pl00013394
Google Scholar
[8]
Carsten Rother. A new approach for vanishing point detection in architectural environments. Journal Image and Vision Computing (IVC; Special Issue on BMVC 2000), vol. 20, no. 9-10: 647- -656, January (2002).
DOI: 10.1016/s0262-8856(02)00054-9
Google Scholar
[9]
J. Kogecka and W. Zhang. Efficient computation of vanishing points. IEEE International Conference on Robotics and Automation, 1: 223-228, (2002).
DOI: 10.1109/robot.2002.1013365
Google Scholar
[10]
Michael Bosse, Richard Rikoski, John Leonard, and Seth Teller. Vanishing points and threedimensional lines from omni-directional video. The Visual Computer, 19: 417-430, (2003).
DOI: 10.1007/s00371-003-0205-3
Google Scholar
[11]
D.A. Bowman, E. Kruijff, J. J. Jr. LaViola, and I. Poupyrev. Anintroduction to 3d user interface design. Computer Science, Virginia Tech., pages 96-108, (2001).
Google Scholar
[12]
C. Gratzel, T. Fong, S. Grange, and C. Baur. A non-contact mouse for surgeon computer interaction. Technology and Health Care Journal, IOS Press, 12, (2004).
DOI: 10.3233/thc-2004-12304
Google Scholar
[13]
C. Feied,M. Gillam, J. Wachs, J. Handler, H. Stern, andM. Smith. A real-time gesture interface for hands-free control of electronic medical records. AMIA Annual Symposium Proceedings, Washington, DC, USA, (2006).
DOI: 10.1007/978-3-540-36266-1_15
Google Scholar
[14]
L. Gallo andM. Ciampi. Wii remote-enhanced hand-computer interaction for 3d medical image analysis. Current Trends in Information Technology (CTIT), International Conference, pages 85- -90, (2009).
DOI: 10.1109/ctit.2009.5423137
Google Scholar
[15]
L. Paolis, M. Pulimeno, and G. Aloisio. Advanced visualization and interaction systems for surgical pre-operative planning. Journal of Computing and Information Technology, vol. 18, no 4, pp.385-392, 2010, 18, no 4: 385-392, (2010).
DOI: 10.2498/cit.1001878
Google Scholar
[16]
J. R. Cooperstock and G. Wang. Stereoscopic display technologies, interaction paradigms, and rendering approaches for neurosurgical visualization. In Stereoscopic Displays and Applications, San Jose, CA, USA, (2009).
DOI: 10.1117/12.808350
Google Scholar
[17]
B. Reitinger, A. Bornik, R. Beichel, and D. Schmalstieg. Liver surgery planning using virtual reality. IEEE Computer Graphics and Applications, 26, no. 6: 36-47, (2006).
DOI: 10.1109/mcg.2006.131
Google Scholar
[18]
R. I. Hartley and R. Kaucic. Sensitivity of calibration to principal point position. In Proc. Seventh European Conference on Computer Vision, pages 433-446. Springer, (2000).
DOI: 10.1007/3-540-47967-8_29
Google Scholar
[19]
Rahul Sukthankar, Robert G. Stockton, andMatthew D. Mullin. Smarter presentations: Exploiting homography in camera-projector systems. Proceedings of International Conference on Computer Vision, 1: 247-253, (2001).
DOI: 10.1109/iccv.2001.937525
Google Scholar
[20]
J. Pages and J. Salvi. A new optimised de bruijn coding strategy for structured light patterns. 17th International Conference on Pattern Recognition, 4: 284-287, (2004).
DOI: 10.1109/icpr.2004.1333759
Google Scholar
[21]
L. Zhang, B. Curless, and S. M. Seitz. Rapid shape acquisition using color structured light and multi-pass dynamic programming. Proceedings of the 1st International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT), pages 24-36, (2001).
DOI: 10.1109/tdpvt.2002.1024035
Google Scholar
[22]
R. Orghidan, M. Danciu, A. Vlaicu, G. Oltean, M. Gordan, and C. Florea. Fuzzy versus crisp stereo calibration: a comparative study. Image and Signal Processing and Analysis (ISPA), 2011 7th International Symposium on, pages 627-632, (2011).
Google Scholar