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Computer Vision

Computer Vision. Instructor: Prof. Sei-Wang Chen, PhD Office: Applied Science Building, Room 101 Communication: Tel : 77346661 E-mail : schen@csie.ntnu.edu.tw Class Hr. : Mon. 9:10am - 12:00noon

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Computer Vision

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  1. Computer Vision Instructor: Prof. Sei-Wang Chen, PhD Office: Applied Science Building, Room 101 Communication: Tel: 77346661 E-mail:schen@csie.ntnu.edu.tw Class Hr. : Mon. 9:10am - 12:00noon Office Hr. : Mon. 2:00pm - 4:00pm Thur. 10:00am-12:00am

  2. Teaching assistant : Office : Applied Science Building, ITS laboratory (Basement) Telephone : 77346696 E-mail: Office Hrs. : 2

  3. Goal of Course Computer vision is a study attempting to understand and imitate biological vision systems, especially the human vision system, and focuses on the computational techniques of low, mid and high levels vision. This course covers a wide range of research problems encountered within computer vision and provides detailed algorithmic and theoretical treatments for each.

  4. Textbook:Computer Vision: A Modern Approach D. A. Forsyth and J. Ponce, 2003 新月圖書公司 23317856, 23311578

  5. Contents of the Textbook: Part 1: Image Formation and Image Models Part 2: Early Vision: Just One Image Part 3: Early Vision: Multiple Images Part 4: Mid-Level Vision Part 5: High-Level Vision: Geometric Methods Part 6: High-Level Vision: Probabilistic and Inferential Methods Part 7: Applications

  6. Part 1: Image Formation and Image Models Ch.1: Cameras Ch.2: Geometric Camera Models Ch.3: Geometric Camera Calibration Ch.4: Radiometry - Measuring Light Ch.5: Surfaces, Shadows, and Shading Ch.6: Color Part 2: Early Vision: Just One Image Ch.7: Linear Filters Ch.8: Edge Detection Ch.9: Texture

  7. Part 3: Early Vision: Multiple Images Ch. 10: The Geometry of Multiple Views Ch. 11: Stereopsis Ch. 12: Affine Structure from Motion Ch. 13: Projective Structure from Motion Part 4: Mid-Level Vision Ch. 14: Segmentation by Clustering Ch. 15: Segmentation by Fitting a Model Ch. 16: Segmentation and Fitting Using Probabilistic Methods Ch. 17: Tracking with Linear Dynamic Models

  8. Part 5: High-Level Vision: Geometric Methods Ch. 18: Model-Based Vision Ch. 19: Smooth Surfaces and their Outlines Ch. 20: Aspect Graphs Ch. 21: Range Data Part 6: High-Level Vision: Probabilistic and Inferential Methods Ch. 22: Finding Templates Using Classifiers Ch. 23: Recognition by Relations Between Templates Ch. 24: Geometric Templates from Spatial Relations

  9. Part 7: Applications Ch. 25: Finding in Digital Libraries Ch. 26: Image-Based Rendering Find power points of chapters by CSIE --> SW Chen --> Teaching --> Computer Vision

  10. Syllabus Week Content 1 Ch1 2 Ch1 3 Ch2 4 Ch2 5 Ch3 6 Ch3 7 Ch4 8 Ch4 9 Presentation & Exam. 10

  11. Week Content 10 Ch5 11 Ch5 12 Ch6 13 Ch6 14 Ch10 15 Ch10 16 Ch11 17 Ch11 18 Presentation 11

  12. References: (A) Books (1) Perception by R. Sekuler and R. Blake, 1985 (2) Computer Vision by D. H. Ballard and C. M. Brown, 1982 (3) Image Processing, Analysis, and Machine Vision by M. Sonka, V. Hlavac, and R. Boyle, 1999 (4) Computer Vision by L. G. Shapiro and G. C. Stockman, 2001 (5) Handbook of Computer VisionAlgorithms in Image Algebra by G. X. Ritter and J. N. Wilson, 2001 (6) Computer Vision, A Modern Approach by D. A. Forsyth and J. Ponce, 2003 (7) Digital Geometry, Geometric Methods for Digital Picture Analysis by R. Klette and A. Rosenfeld, 2004 (8) Handbook of Mathematical Models in Computer Vision Ed. by N. Paragios, Y. Chen, and O. Faugeras, 2006

  13. (B) Journals (1) IEEE Trans. on Pattern Analysis and Machine Intelligence (2) Int’l Journal of Computer Vision (3) IEEE Trans. on Image Processing (4) Computer Vision and Image Understanding (5) Pattern Recognition (C) Conferences (1) Int’l Conference on Computer Vision (ICCV) (2) Int’l Conference on Pattern Recognition (ICPR) (3) Int’l Conference on Image Processing (ICIP) (4) Int’l Conference on Computer Vision and Pattern Recognition (CVPR)

  14. Evaluation: Homework 30% Examination I 20% Presentation I, II 30% Q & A 20% Late homeworks and reports will not be accepted Plagiarism is definitely not allowed 14

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