1. 11 Advanced Image Processing Instructor : Prof. Sei-Wang Chen Office : Applied Science Building, Room 101 Telephone : 7734-6661 E-mail: schen@csie.ntnu.edu.twschen@csie.ntnu.edu.tw Class Hours : Friday, 9:00AM - 12:00Noon Office Hours: Monday, 10:00AM - 12:00Noon Thursday, 10:00AM - 12:00Noon

2. 22 Teaching assistant : Office : Applied Science Building, Basement, IPCV-ITS Lab Telephone : 7734-6696 E-mail : Office Hrs. :

3. 33 Teaching Goal Advanced study on image processing, focusing on both theoretical and practical techniques for 2D, 3D and video images. This course covers a wide range of research as well as application problems often encountered within image processing and computer vision and provides detailed algorithmic and theoretical treatments for each.

4. 44 Textbook Image Processing, Analysis, and Machine Vision (4 th Edition) by M. Sonka, V. Hlavac, and R. Boyle (2015) 滄海書局 陳式政 (0938723438)

5. 55 Contents of the Textbook: Ch.1 – Introduction Ch.2 – The image, its representations and properties Ch.3 – The image, its mathematical and physical background Ch.4 – Data structures for image analysis Ch.5 – Image preprocessing Ch.6 – Segmentation I Ch.7 – Segmentation II Ch.13 – Mathematical morphology

6. 66 Ch.8 – Shape representation and description Ch.9 – Object recognition Ch.10 – Image understanding Ch.11 – 3D geometry, correspondence, 3D from intensities Ch.12 – Use of 3D vision Ch.14 – Image data compression Ch.15 – Texture Ch.16 – Motion analysis Find the power points of chapters by CSIE --> SW Chen --> Teaching --> Image Processing --> Image Processing (II)

7. 77 Syllabus Week Content 1 Ch1 2 Ch2.1-2.2 3 Ch2.3-2.4 4 Ch2.4-2.5 5 Ch3.1-3.2 6 Ch3.2 7 Ch3.3 8 Ch4 9 Mid-term Exam.

8. 88 Week Content 10 Ch5.1-5.3 11 Ch5.3-5.4 12 Ch6.1-6.2 13 Ch6.2-6.3 14 Ch6.3-6.5 15 Ch7.1-7.2 16 Ch7.3-7.4 17 Presentation 18 Presentation

9. 99 References: (i) Books (1) Digital Geometry, Geometric Methods for Digital Picture Analysis, by R. Klette and A. Rosenfeld, 2004. (2) Handbook of Mathematical Models in Computer Vision, Ed. by N. Paragios, Y. Chen, and O. Faugeras, 2006. (3) Blind Image Deconvolution, Theory and Applications, Ed. by P. Campisi and K. Egiazarian, 2007. (4) Digital Image Processing Using MATLAB, by R. C. Gonzalez and R. E. Woods, and S. L. Eddins, 2011.

10. 10 (ii) Journals (1) IEEE Trans. on Pattern Analysis and Machine Intelligence (2) IEEE Trans. on Image Processing (3) International Journal of Computer Vision (4) Computer Vision and Image Understanding (5) Pattern Recognition (5) Computer Vision, A Modern Approach, by D. A. Forsyth, J. Ponce, S. Mukherjee, and A. K. Bhattacharjee, 2012.

11. 11 (iii) Conferences (1) International Conference on Computer Vision (ICCV) (2) International Conference on Pattern Recognition (ICPR) (3) International Conference on Image Processing (ICIP) (4) Computer Vision and Pattern Recognition (CVPR)

12. 12 (1) Prepare a file: File Name: Name_h(or p)#.rar e.g., (i) 陳世旺 _h1.rar (Homework) (ii) 陳世旺 _p1.rar (Program) (2) Submit the file to: (i) ftp://140.122.184.4 (ii) User ID: students; Password: 123456 (iii) 點選 “disk1” 資料夾 點選 “IP 作業 ” 資料夾 (iv) 上傳作業 Submit Assignments

13. 13 1. 點選 “IP 作業 ” 資料夾 4. 按照作業順序上傳作業 會於規定交作業 ' 時間內 ' 開啟此帳號。

14. 14 Evaluation: Examination 20% Presentation 20% Homework 30% Project 20% Attendance 10% Late homeworks and reports will not be accepted Plagiarism is definitely not allowed