Transcript 投影片 1 - Digital Camera and Computer Vision Laboratory

Advanced Computer Vision
Chapter 1 Introduction
傅楸善
Chiou-Shann Fuh
33664888 ext. 327
[email protected]
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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
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Textbook:
R. Szeliski, Computer Vision: Algorithms and Applications, SpringerVerlag, 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%)
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Content:
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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 higherlevel techniques:
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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
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12. 3D Reconstruction
13. Image-Based Rendering
14. Recognition
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Bibliography
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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
E Gose, R Johnsonbaugh, 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.
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Bibliography
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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, SpringerVerlag, London, 2011.
DC & CV Lab.
NTU CSIE