Elements of Computer Vision: Multiple View Geometry.

References

  • Avidan and Shashua [1997]
    S. Avidan and A. Shashua.
    Novel view synthesis in tensor space.
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 1034–1040, 1997.
  • Beardsley et al. [1997]
    P. Beardsley, A. Zisserman, and D. Murray.
    Sequential update of projective and affine structure from motion.
    International Journal of Computer Vision, 23(3):235–259, 1997.
  • Boufama [2000]
    B. S. Boufama.
    The use of homographies for view synthesis.
    In Proceedings of the International Conference on Pattern Recognition, pages 563–566, 2000.
  • Brown and Lowe [2005]
    Matthew Brown and David G. Lowe.
    Unsupervised 3D object recognition and reconstruction in unordered datasets.
    In Proceedings of the International Conference on 3D Digital Imaging and Modeling, June 2005.
  • Brown et al. [2003]
    Myron Z. Brown, Darius Burschka, and Gregory D. Hager.
    Advances in computational stereo.
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(8):933–1008, August 2003.
  • Faugeras [1993]
    O. Faugeras.
    Three-Dimensional Computer Vision: A Geometric Viewpoint.
    The MIT Press, Cambridge, MA, 1993.
  • Faugeras [1994]
    O. Faugeras.
    Stratification of 3-D vision: projective, affine, and metric representations.
    Journal of the Optical Society of America A, 12(3):465–484, 1994.
    URL ftp://ftp-robotvis.inria.fr/pub/html/Papers/faugeras:95.ps.gz.
  • Faugeras and Luong [2001]
    O. Faugeras and Q-T Luong.
    The geometry of multiple images.
    MIT Press, 2001.
  • Faugeras and Robert [1994]
    O. D. Faugeras and L. Robert.
    What can two images tell us about a third one?
    In Proceedings of the European Conference on Computer Vision, pages 485–492, Stockholm, 1994.
  • Fusiello [2000]
    A. Fusiello.
    Uncalibrated Euclidean reconstruction: A review.
    Image and Vision Computing, 18(6-7):555–563, May 2000.
  • Fusiello et al. [2000]
    A. Fusiello, E. Trucco, and A. Verri.
    A compact algorithm for rectification of stereo pairs.
    Machine Vision and Applications, 12(1):16–22, 2000.
  • Fusiello et al. [2004]
    A. Fusiello, A. Benedetti, M. Farenzena, and A. Busti.
    Globally convergent autocalibration using interval analysis.
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(12):1633–1638, December 2004.
  • [13]
    Andrea Fusiello.
    A matter of notation: several uses of the kronecker product in computer vision.
    Submitted to Pattern Recognition Letters.
  • Gherardi et al. [2010]
    Riccardo Gherardi, Michela Farenzena, and Andrea Fusiello.
    Improving the efficiency of hierarchical structure-and-motion.
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), 2010.
  • Hartley and Zisserman [2003]
    R. Hartley and A. Zisserman.
    Multiple View Geometry in Computer Vision.
    Cambridge University Press, 2nd edition, 2003.
  • Hartley et al. [1999]
    R. Hartley, E. Hayman, L. de Agapito, and I. Reid.
    Camera calibration and the search for infinity.
    In Proceedings of the International Conference on Computer Vision, 1999.
  • Hartley [1995]
    R. I. Hartley.
    In defence of the 8-point algorithm.
    In Proceedings of the International Conference on Computer Vision, pages 1064–1071, Washington, DC, USA, 1995. IEEE Computer Society.
    ISBN 0-8186-7042-8.
  • Hartley and Sturm [1997]
    R. I. Hartley and P. Sturm.
    Triangulation.
    Computer Vision and Image Understanding, 68(2):146–157, November 1997.
  • Heyden [2000]
    A. Heyden.
    Tutorial on multiple view geometry.
    In conjunction with ICPR00, September 2000.
  • Heyden [1997]
    A. Heyden.
    Projective structure and motion from image sequences using subspace methods.
    In Scandinavian Conference on Image Analysis, pages 963–968, 1997.
  • Heyden [1998]
    A. Heyden.
    A common framework for multiple-view tensors.
    In Proceedings of the European Conference on Computer Vision, Freiburg, Germany,, 1998.
  • Heyden and Åström [1996]
    A. Heyden and K. Åström.
    Euclidean reconstruction from constant intrinsic parameters.
    In Proceedings of the International Conference on Pattern Recognition, pages 339–343, Vienna, 1996.
  • Heyden and Åström [1998]
    A. Heyden and K. Åström.
    Minimal conditions on intrinsic parameters for Euclidean reconstruction.
    In Proceedings of the Asian Conference on Computer Vision, page XXX, Hong Kong, 1998.
  • Horn and Johnson [1994]
    R.A. Horn and C.R. Johnson.
    Topics in Matrix Analysis.
    Cambridge University Press, 1994.
  • Huang and Faugeras [1989]
    T.S. Huang and O.D. Faugeras.
    Some properties of the E matrix in two-view motion estimation.
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(12):1310–1312, December 1989.
  • Irschara et al. [2007]
    Arnold Irschara, Christopher Zach, and Horst Bischof.
    Towards wiki-based dense city modeling.
    In Proceedings of the 11th International Conference on Computer Vision, pages 1–8, 2007.
  • Isgrò et al. [2004]
    F. Isgrò, E. Trucco, P. Kauff, and O. Schreer.
    3-D image processing in the future of immersive media.
    IEEE Transactions on Circuits and Systems for Video Technology, 14(3):288–303, 2004.
  • Ivekovic et al. [2005]
    S. Ivekovic, A. Fusiello, and E. Trucco.
    Fundamentals of multiple view geometry.
    In O. Schreer, P. Kauff, and T. Sikora, editors, 3D Videocommunication. Algorithms, concepts and real-time systems in human centered communication, chapter 6. John Wiley & Sons, 2005.
    ISBN: 0-470-02271-X.
  • Kamberov et al. [2006]
    G. Kamberov, G. Kamberova, O. Chum, S. Obdrzalek, D. Martinec, J. Kostkova, T. Pajdla, J. Matas, and R. Sara.
    3d geometry from uncalibrated images.
    In Proceedings of the 2nd International Symposium on Visual Computing, Springer Lecture Notes in Computer Science, 2006.
  • Laveau and Faugeras [1994]
    S. Laveau and O. Faugeras.
    3-D scene representation as a collection of images and foundamental matrices.
    Technical Report 2205, INRIA, Institut National de Recherche en Informatique et an Automatique, February 1994.
  • Lengyel [1998]
    Jed Lengyel.
    The convergence of graphics and vision.
    IEEE Computer, 31(7):46–53, July 1998.
  • Luong and Viéville [1996]
    Q.-T. Luong and T. Viéville.
    Canonical representations for the geometries of multiple projective views.
    Computer Vision and Image Understanding, 64(2):193–229, 1996.
  • Ma et al. [2003]
    Yi Ma, Stefano Soatto, Jana Kosecka, and Shankar S. Sastry.
    An Invitation to 3-D Vision.
    Springer, November 2003.
    ISBN 0387008934.
  • Magnus and Neudecker [1999]
    J. R. Magnus and H. Neudecker.
    ”Matrix Differential Calculus with Applications in Statistics and Econometrics”.
    John Wiley & Sons, revised edition, 1999.
  • Mahamud et al. [2001]
    S. Mahamud, M. Hebert, Y. Omori, and J. Ponce.
    Provably-convergent iterative methods for projective structure from motion.
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages I:1018–1025, 2001.
  • Marimont and Wandell [1992]
    D.H. Marimont and B.A. Wandell.
    Linear models of surface and illuminant spectra.
    J. Opt. Soc. Am. A, 9(11):1905–1913, 1992.
  • Maybank and Faugeras [1992]
    S. J. Maybank and O. Faugeras.
    A theory of self-calibration of a moving camera.
    International Journal of Computer Vision, 8(2):123–151, 1992.
  • Mendonça and Cipolla [1999]
    P.R.S. Mendonça and R. Cipolla.
    A simple technique for self-calibration.
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages I:500–505, 1999.
  • Minka [2000]
    Thomas Minka.
    Old and new matrix algebra useful for statistics.
    MIT Media Lab note, 2000.
    http://research.microsoft.com/ minka/papers/matrix/.
  • Oliensis [1999]
    J. Oliensis.
    Fast and accurate self-calibration.
    In Proceedings of the International Conference on Computer Vision, 1999.
  • Pollefeys et al. [1998]
    M. Pollefeys, R. Koch, and L. Van Gool.
    Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters.
    In Proceedings of the International Conference on Computer Vision, pages 90–95, Bombay, 1998.
  • Pollefeys et al. [2002]
    M. Pollefeys, F. Verbiest, and L. Van Gool.
    Surviving dominant planes in uncalibrated structure and motion recovery.
    In Proceedings of the European Conference on Computer Vision, pages 837–851, 2002.
  • Scharstein and Szeliski [2002]
    D. Scharstein and R. Szeliski.
    A taxonomy and evaluation of dense two-frame stereo correspondence algorithms.
    International Journal of Computer Vision, 47(1):7–42, May 2002.
  • Shashua and Navab [1996]
    A. Shashua and N. Navab.
    Relative affine structure: Canonical model for 3D from 2D geometry and applications.
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(9):873–883, September 1996.
  • Snavely et al. [2006]
    Noah Snavely, Steven M. Seitz, and Richard Szeliski.
    Photo tourism: exploring photo collections in 3d.
    In SIGGRAPH: International Conference on Computer Graphics and Interactive Techniques, pages 835–846, New York, NY, USA, 2006.
  • Stewart [1999]
    C. V. Stewart.
    Robust parameter estimation in computer vision.
    SIAM Review, 41(3):513–537, 1999.
  • Sturm and Triggs [1996]
    P. Sturm and B. Triggs.
    A factorization based algorithm for multi-image projective structure and motion.
    In Proceedings of the European Conference on Computer Vision, pages 709–720, Cambridge, UK, 1996.
  • Tomasi and Kanade [1992]
    C. Tomasi and T. Kanade.
    Shape and motion from image streams under orthography – a factorization method.
    International Journal of Computer Vision, 9(2):137–154, November 1992.
  • Triggs [1996]
    B. Triggs.
    Factorization methods for projective structure from motion.
    In CVPR, pages 845–851, 1996.
  • Triggs [1997]
    B. Triggs.
    Autocalibration and the absolute quadric.
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 609–614, Puerto Rico, 1997.
  • Triggs et al. [2000]
    Bill Triggs, Philip F. McLauchlan, Richard I. Hartley, and Andrew W. Fitzgibbon.
    Bundle adjustment - a modern synthesis.
    In Proceedings of the International Workshop on Vision Algorithms, pages 298–372. Springer-Verlag, 2000.
    ISBN 3-540-67973-1.
  • Trucco and Verri [1998]
    E. Trucco and A. Verri.
    Introductory Techniques for 3-D Computer Vision.
    Prentice-Hall, 1998.
  • Vergauwen and Gool [2006]
    Maarten Vergauwen and Luc Van Gool.
    Web-based 3D reconstruction service.
    Machine Vision and Applications, 17(6):411–426, 2006.
  • Zhang and Chen [2003]
    Cha Zhang and Tsuhan Chen.
    A survey on image-based rendering - representation, sampling and compression.
    Technical Report AMP 03-03, Electrical and Computer Engineering - Carnegie Mellon University, Pittsburgh, PA 15213, June 2003.
  • Zhang [1998]
    Z. Zhang.
    Determining the epipolar geometry and its uncertainty: A review.
    International Journal of Computer Vision, 27(2):161–195, March/April 1998.