Advanced Computer Vision Chapter 1 Introduction 傅楸善 Chiou-Shann Fuh 33664888 ext. 327 fuh@csie.ntu.edu.tw
Course Number: 922 U3910 • Credits: 3 • Time: Tuesday 6, 7, 8 (2:20PM~5:20PM) • Classroom: New CSIE Classroom 105 • Classification: Elective for junior, senior, and graduate students • Prerequisite: Computer Vision or Digital Image Processing • Instructor: Chiou-Shann Fuh • Office: Computer Science and Information Engineering 327 • Phone: 33664888 ext.327 • Office Hours: Tuesday 11AM~12 noon • Objective: To learn advanced computer vision through extensive course projects DC & CV Lab. NTU CSIE
Textbook: R. Szeliski, Computer Vision: Algorithms and Applications, Springer-Verlag, London, 2011. • Reference: R. M. Haralick and L. G. Shapiro, Computer and Robot Vision, Vol. II, Addison Wesley, Reading, MA, 1993. B. K. P. Horn, Robot Vision, MIT Press, Cambridge, MA, 1986. R. Jain, R. Kasturi, and B. G. Schunck Machine Vision, McGraw-Hill, New York, 1995. • Projects: assigned weekly on first few weeks(20%) and a term project (30%) • Examinations: one midterm (20%) and one final (30%) DC & CV Lab. NTU CSIE
Content: • This is a fast pace course which covers advanced computer vision. • Computer Vision covers low-level vision and mostly no reference to three dimensions • Advanced Computer Vision covers higher-level techniques: DC & CV Lab. NTU CSIE
1. Introduction: C. S. Fuh 2. Image Formation: N. T. Chang 3. Image Processing: N. T. Chang 4. Feature Detection and Matching: C. W. Hsu 5. Segmentation: C. W. Hsu 6. Feature-Based Alignment: Y. L. Sung 7. Structure from Motion: P. Borade 8. Dense Motion Estimation: Y. C. Cheng 9. Image Stitching: K. C. Peng 10. Computational Photography: P. C. Lee 11. Stereo Correspondence: C. C. Lee DC & CV Lab. NTU CSIE
12. 3D Reconstruction 13. Image-Based Rendering 14. Recognition DC & CV Lab. NTU CSIE
Bibliography • D. H. Ballard and C. M. Brown, Computer Vision, Prentice-Hall, Englewood Cliffs, NJ, 1982. • G. A. Baxes, Digital Image Processing, Wiley, New York,1984. • K. Castleman , Digital Image Processing, Prentice-Hall, Englewood, Cliffs, NJ, 1996. • E. R. Davies, Machine Vision: Theory, Algorithms, Practicalities,2ndEd., Academic Press, San Diego,CA, 1997 • R.C.Gonzalez and R.E. Woods, Digital Image Processing, Addison Wesley, Reading, MA,1992 • EGose,RJohnsonbaugh, and S. Jost, Pattern Recognition and Image Analysis, Prentice-Hall, Englewood Cliffs, NJ, 1996. • A.K. Jain, Fundamentals of Digital Image Processing, Prentice-Hall, Englewood Cliffs, NJ, 1990. • J.S.Lim, Two-Dimensional Signal and Image Processing, Prentice-Hall, Englewood Cliffs, NJ, 1990. DC & CV Lab. NTU CSIE
Bibliography • D. Marr, Vision, W.H.Freeman, San Francisco,1982. • V. S. Nalwa, A Guided Tour of Computer Vision, Addison Wesley, Reading, MA, 1993. • W. K. Pratt, Digital Image Processing, 2nd ed., Wiley-Interscience, New York, 1991. • R. J. Schalkoff, Digital Image Processing and Computer Vision: An Interduction to Theory and Implementations, Wiley, New York, 1989. • R. J. Schalkoff, Pattern Recognition: Statistical, Structural, and Neural Approaches, Wiley, New York, 1992. • R. Szeliski, Computer Vision: Algorithms and Applications, Springer-Verlag, London, 2011. DC & CV Lab. NTU CSIE
