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Course Information
Syllabus
Reference
Test Images
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Textbooks
- D. H. Ballard and C. M. Brown, Computer Vision, Prentice-Hall, Englewood Cliffs, N.J., 1982. (Online Book)
- B. K. P. Horn, Robot Vision, MIT Press, 1986.
- R. M. Haralick and L. G. Shapiro, Computer and Robot Vision, Vols. I and II, Addison-Wesley, Reading, Mass., 1992.
- 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.
- E. Trucco and A. Verri, Introductory Techniques for 3-D Computer Vision, Prentice-Hall, Upper Saddle River, N.J., 1998.
- M. Sonka, V. Hlavac and R. Boyle, Image Processing, Analysis, and Machine Vision, Brooks/Cole Publishing, Pacific Grove, Ca., 1999.
- D. Forsyth and J. Ponce, Computer Vision: A Modern Approach, Prentice-Hall, 2001.
- E. R. Davies, Machine Vision: Theory, Algorithms Practicalities, 3rd ed., Elsevier, 2005.
- CVonline: Vision Related Books including Online Books and Book Support Sites
Papers
- [Marr&Hildreth:80] D. Marr and E. Hildreth, "Theory of Edge Detection," Proc. Royal
Soc. of London, vol. B207, pp. 187-217, 1980. (pdf)
- [Prewitt:70] J. M. S. Prewitt, "Object enhancement and extraction," in: Picture
Processing and Psychopictories, B. S. Lipkin and A. Rosenfeld, eds.,
Academic Press, New York (1970). (pdf)
- [Sobel:70] I. E. Sobel. Camera Models and Machine Perception. PhD thesis,
Electrical Engineering Department, Stanford University, 1970.
- [Canny:86] J. Canny, "A computational approach to edge detection," IEEE Trans.
on Pattern Analysis and Machine Intelligence, 8(6), 1986. (pdf)
- [Frei&Chen:77] W. Frei and C. Chen, "Fast boundary detection: a
generalization and a new algorithm," IEEE Trans. on Computers, 26(2),
1977. (pdf)
- [Besag:86] J. Besag, "On the statistical analysis of dirty
pictures," Journal of the Royal Statistical Society. Series B
(Methodological), 48(3):259-302, 1986. (pdf)
- [Geman&Geman:84] S. Geman and D. Geman, "Stochastic relaxation,
Gibbs distributions, and the Bayesian restoration of images," IEEE
TPAMI 6(6):721-741, 1984. (pdf)
- [BM3D:07] K. Dabov, A. Foi, V. Katkovnik, K. Egiazarian, "Image
denoising by sparse 3-d transform-domain collaborative filtering,"
IEEE TIP 16(8):2080-2095, 2007. (pdf)
- [NLM:05] A. Buades, B. Coll, J.M. Morel, "A non-local algorithm
for image denoising," CVPR 2005. (pdf)
- [TV:92] L.I. Rudin, S. Osher, E. Fatemi, "Nonlinear total
variation based noise removal algorithms," Physica D 60:259-268,
1992. (pdf)
- [Haralick:PAMI87] R.M. Haralick, S.R. Sternberg, X. Zhuang, "Image analysis using
mathematical morphology," TPAMI 9(4):532-550, July 1987.
- [MeanShift:PAMI02] D. Comaniciu, P. Meer, "Mean shift: A robust
approach toward feature space analysis," TPAMI 24(5):603-619, May
2002.
- [MeanShift:PAMI95] Y. Cheng, "Mean shift, mode seeking, and
clustering," TPAMI 17(8):790-799, August 1995.
- [MeanShift:TIT75] K. Fukunaga, L.D. Hostetler, "The estimation
of the gradient of a density function, with applications in pattern
recognition," TIT 21(1):32-40, January 1975.
Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)
- Computer Vision and Image Understanding (CVIU), Elsevier
- IEEE Transactions on Image Processing (TIP)
- Pattern Recognition, Elsevier
- Image and Vision Computing, Elsevier
- International Journal of Computer Vision, Springer.
Conferences
- International Conference on Computer Vision (ICCV)
- Computer Vision and Pattern Recognition (CVPR) (submission: early November)
- International Conference of Pattern Recognition (ICPR)
- European Conference on Computer Vision (ECCV) (submission: late March)
- Winter Conference on Applications of Computer Vision (WACV)
- Computer Vision Conferences
Interesting articles and websites
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