Advanced Computer Vision Chapter 1 Introduction 傅楸善 Chiou-Shann Fuh ext. 327

DC & CV Lab. NTU CSIE 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: 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, Reference: R. M. Haralick and L. G. Shapiro, Computer and Robot Vision, Vol. II, Addison Wesley, Reading, MA, B. K. P. Horn, Robot Vision, MIT Press, Cambridge, MA, R. Jain, R. Kasturi, and B. G. Schunck Machine Vision, McGraw-Hill, New York, 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 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: Content:

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, G. A. Baxes, Digital Image Processing, Wiley, New York,1984. K. Castleman, Digital Image Processing, Prentice-Hall, Englewood, Cliffs, NJ, 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, A.K. Jain, Fundamentals of Digital Image Processing, Prentice-Hall, Englewood Cliffs, NJ, 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, W. K. Pratt, Digital Image Processing, 2nd ed., Wiley-Interscience, New York, R. J. Schalkoff, Digital Image Processing and Computer Vision: An Interduction to Theory and Implementations, Wiley, New York, R. J. Schalkoff, Pattern Recognition: Statistical, Structural, and Neural Approaches, Wiley, New York, R. Szeliski, Computer Vision: Algorithms and Applications, Springer- Verlag, London, 2011.