Computer Sciences Dept.

CS 766 - Computer Vision

Fall 2006
Picture of robot eye


CS 766 Supplementary Reading Sources

  • Computer Vision Textbooks
    • D. H. Ballard and C. M. Brown, Computer Vision, Prentice-Hall, Englewood Cliffs, N.J., 1982.
    • O. Faugeras, Three-Dimensional Computer Vision, MIT Press, Cambridge, Mass., 1993.
    • O. Faugeras and Q-T. Luong, The Geometry of Multiple Images, MIT Press, Cambridge, Mass., 2001.
    • D. Forsyth and J. Ponce, Computer Vision: A Modern Approach, Prentice-Hall, Upper Saddle River, N.J., 2000.
    • R. M. Haralick and L. G. Shapiro, Computer and Robot Vision, Vols. I and II, Addison-Wesley, Reading, Mass., 1992.
    • R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, Cambridge University Press, Cambridge, UK, 2000.
    • B. K. P. Horn, Robot Vision, McGraw-Hill, New York, 1986.
    • R. Jain, R. Kasturi and B. G. Schunck, Machine Vision, McGraw-Hill, New York, 1995.
    • R. Klette, K. Schluns and A. Koschan, Computer Vision: Three-Dimensional Data from Images, Springer-Verlag, Singapore, 1998.
    • Y. Ma, S. Soatto, J. Kosecka, and S. Sastry, An Invitation to 3-D Vision, Springer, New York, 2004.
    • V. S. Nalwa, A Guided Tour of Computer Vision, Addison-Wesley, Reading, Mass., 1993.
    • L. Shapiro and G. Stockman, Computer Vision, Prentice-Hall, Upper Saddle River, N.J., 2000.
    • W. Snyder and H. Qi, Machine Vision, Cambridge University Press, Cambridge, UK, 2004.
    • M. Sonka, V. Hlavac and R. Boyle, Image Processing, Analysis, and Machine Vision, Brooks/Cole Publishing, Pacific Grove, Ca., 1999.
    • E. Trucco and A. Verri, Introductory Techniques for 3-D Computer Vision, Prentice-Hall, Upper Saddle River, N.J., 1998.
    • A. Watt and F. Policarpo, The Computer Image, Addison-Wesley, Harlow, UK, 1998.

  • Image Processing Textbooks
    • K. R. Castleman, Digital Image Processing, Prentice-Hall, Englewood Cliffs, N.J., 1996.
    • R. C. Gonzalez and R. E. Woods, Digital Image Processing, 2nd ed., Prentice Hall, Upper Saddle River, N.J., 2002.
    • A. K. Jain, Fundamentals of Digital Image Processing, Prentice Hall, Englewood Cliffs, N.J., 1989.
    • M. Petrou and P. Bosdogianni, Image Processing: The Fundamentals, Wiley, Chichester, UK, 1999.
    • W. K. Pratt, Digital Image Processing, 2nd ed., Wiley, New York, 1991.
    • J. C. Russ, The Image Processing Handbook, CRC Press, Boca Raton, Fl., 1992.

  • Computer Vision Monographs
    • J. Aloimonos and D. Shulman, Integration of Visual Modules: An Extension of the Marr Paradigm, Academic Press, New York, 1989.
    • A. Blake and M. Isard, Active Contours: The Application of Techniques from Graphics, Vision, Control Theory and Statistics to Visual Tracking of Shapes in Motion, Springer, London, 1998
    • A. Criminisi, Accurate Visual Metrology from Single and Multiple Uncalibrated Images, Springer, London, 2001.
    • W. E. L. Grimson, Object Recognition by Computer: The Role of Geometric Constraints, MIT Press, Cambridge, Mass., 1990.
    • J. Koenderink, Solid Shape, MIT Press, Cambridge, Mass., 1990.
    • J. MacCormick, Stochastic Algorithms for Visual Tracking, Springer, London, 2002.
    • D. Marr, Vision, Freeman, San Francisco, 1982.
    • B. A. Wandell, Foundations of Vision, Sinauer, Sunderland, Mass., 1995.
    • G. Xu and Z. Zhang, Epipolar Geometry in Stereo, Motion and Object Recognition, Kluwer, Boston, 1996.

  • Paper Collections: General
    • K. Bowyer and N. Ahuja, eds., Advances in Image Understanding, IEEE Computer Society Press, Los Alamitos, Ca., 1996.
    • L. Davis, ed., Foundations of Image Understanding, Kluwer, Boston, 2001.
    • M. Fischler and O. Firschein, eds., Readings in Computer Vision, Morgan Kaufmann, Los Altos, Ca., 1987.
    • R. Kasturi and R. C. Jain, eds., Computer Vision: Principles, and Computer Vision: Advances and Applications, IEEE Computer Society Press, Los Alamitos, Ca., 1991.
    • G. Medioni and S. B. Kang, eds., Emerging Topics in Computer Vision, Prentice Hall, Upper Saddle River, N.J., 2005.

  • Paper Collections: Special Topics
    • Y. Aloimonos, ed., Active Perception, Lawrence Erlbaum, Hillsdale, N.J., 1993.
    • R. Benosman and S. B. Kang, eds., Panoramic Vision: Sensors, Theory, and Applications, Springer, New York, 2001.
    • A. Blake and A. Yuille, eds., Active Vision, MIT Press, Cambridge, Mass., 1992.
    • C. M. Brown and D. Terzopoulos, eds., Real-time Computer Vision, Cambridge University Press, Cambridge, 1994.
    • K. Ikeuchi and Y. Sato, eds., Modeling from Reality, Kluwer, Norwell, Mass., 2001.
    • A. K. Jain and P. J. Flynn, eds., Three-Dimensional Object Recognition Systems, Elsevier, Amsterdam, 1993.
    • J. L. Mundy and A. Zisserman, eds., Geometric Invariance in Computer Vision, MIT Press, Cambridge, Mass., 1992.
    • S. Osher and N. Paragios, eds., Geometric Level Set Methods in Imaging, Vision, and Graphics, Springer, New York, 2003.
    • O. Schreer, P. Kauff and T. Sikora, eds., 3D Videocommunication: Algorithms, Concepts and Real-Time Systems in Human Centred Communication, Wiley, Hoboken, N.J., 2005.
    • M. Shah and R. Jain, Motion-Based Recognition, Kluwer, Boston, 1997.
    • L. B. Wolff, S. A. Shafer and G. E. Healey, eds., Physics-Based Vision: Principles and Practice (in three volumes: Shape Recovery, Radiometry, and Color), Jones and Bartlett, Boston, 1992.

  • Papers

 
CS 766 | Department of Computer Sciences | University of Wisconsin - Madison