Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Fall Semester
Year 2025 349241 Advanced Computer Vision 1 3.0 3 ★ Huang Cheng-Ming GEE 59 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	349241	Advanced Computer Vision	1	3.0	3	★	Huang Cheng-Ming	GEE	59	0

Course Plan：

Instructor Huang Cheng-Ming　Office Hours

Email cmhuang@ntut.edu.tw

Last Updated 2025-05-23 13:04:12

Course Objective 電腦視覺簡介及其應用影像形成偵測與配對影像分割以特徵為基礎的定位運動推論結構運動估計影像縫合計算攝影學立體對應三維重建影像辨識

Course Schedule Week 1. Introduction Week 2. Image Formation Week 3. Thresholding and Segmentation Week 4. Region Analysis Week 5. Statistical Pattern Recognition Week 6. Mathematical Morphological Processing Week 7. Conditioning and Labeling Week 8. Facet Model and Texture Analysis Week 9. Midterm Exam Week 10. Object Models Week 11. Detection and Matching Week 12. Segmentation Week 13. Feature-Based Alignment Week 14. Structure from Motion, Motion Estimation Week 15. Image Stitching, Stereo Correspondence, 3D Reconstruction Week 16. Recognition Week 17. Presentation of Final Project Week 18. Presentation of Final Project

Evaluation and grading policy Homework (with C programming) 70% Midterm Exam (closed book) 10% Final Project 20%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
-Textbook Richard Szeliski, Computer Vision: Algorithms and Applications, 2010. -Reference D. A. Forsyth and John Ponce, Computer Vision: A Modern Approach, Pearson Education, 2003. Richard Hartley and Andrew Zisserman, Multiple View Geometry in Computer Vision, 2nd ed, Cambridge University Press, March 2004.

The access to curricular consultation E-mail: cmhuang@mail.ntut.edu.tw

北科 i 學園PLUS
https://istudy.ntut.edu.tw/

Expanding teaching and resources

The course corresponds to the SDGs SDG4：優質教育（Quality Education）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

Does the course incorporate AI ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）

Note
　

Instructor	Huang Cheng-Ming　Office Hours
Email	cmhuang@ntut.edu.tw
Last Updated	2025-05-23 13:04:12
Course Objective	電腦視覺簡介及其應用影像形成偵測與配對影像分割以特徵為基礎的定位運動推論結構運動估計影像縫合計算攝影學立體對應三維重建影像辨識
Course Schedule	Week 1. Introduction Week 2. Image Formation Week 3. Thresholding and Segmentation Week 4. Region Analysis Week 5. Statistical Pattern Recognition Week 6. Mathematical Morphological Processing Week 7. Conditioning and Labeling Week 8. Facet Model and Texture Analysis Week 9. Midterm Exam Week 10. Object Models Week 11. Detection and Matching Week 12. Segmentation Week 13. Feature-Based Alignment Week 14. Structure from Motion, Motion Estimation Week 15. Image Stitching, Stereo Correspondence, 3D Reconstruction Week 16. Recognition Week 17. Presentation of Final Project Week 18. Presentation of Final Project
Evaluation and grading policy	Homework (with C programming) 70% Midterm Exam (closed book) 10% Final Project 20%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes -Textbook Richard Szeliski, Computer Vision: Algorithms and Applications, 2010. -Reference D. A. Forsyth and John Ponce, Computer Vision: A Modern Approach, Pearson Education, 2003. Richard Hartley and Andrew Zisserman, Multiple View Geometry in Computer Vision, 2nd ed, Cambridge University Press, March 2004.
The access to curricular consultation	E-mail: cmhuang@mail.ntut.edu.tw 北科 i 學園PLUS https://istudy.ntut.edu.tw/
Expanding teaching and resources
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
Does the course incorporate AI	● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI） ● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）
Note