Course Syllabus

Course Information：

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

Spring Semester
Year 2026 359835 Computer Vision 1 3.0 3 ★ Lin, Huei-Yung GCSIE
IEECSG
MSAI 26 0 Jointly offered by Computer Science department.

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	359835	Computer Vision	1	3.0	3	★	Lin, Huei-Yung	GCSIE IEECSG MSAI	26	0	Jointly offered by Computer Science department.

Course Plan：

Instructor Lin, Huei-Yung　Office Hours

Email lin@ntut.edu.tw

Last Updated 2025-12-17 17:32:22

Course Objective 本課程在介紹電腦視覺的基本概念與使用技術. 課程內容包含: 1.introduction to computer vision 2.geometric camera calibration 3.illumination 4.geometry of multiple view 5.structure from motion 6.segmentation by clustering 7.tracking models 8.model-based vision 9.image-based rendering. The goal of this course is to introduce the basic concepts and techniques of computer vision. The outline of this course includes: 1.introduction to computer vision 2.geometric camera calibration 3.illumination 4.geometry of multiple view 5.structure from motion 6.segmentation by clustering 7.tracking models 8.model-based vision 9.image-based rendering.

Course Schedule Digital Image Formation Image Geometry, Sampling and Quantization, Image Definition 3 Optics, Digital Image Acquisition Lens Equation, Image Resolution, Depth of Field, View Volume 6 Image Manipulation Image Filtering, Image Enhancement, Image Restoration in Spatial and Frequency Domain 9 Binary Image Processing Thresholding, Geometric Properties, Projections, Run-Length Encoding, Binary Algorithms, Morphologic Operators, OCR 9 Region and Edges Region Segmentation, Region Representation, Split and Merge, Region Growing 6 Image Features Gradient, Edge Detection, Corner Detection, Image Approximation, Subpixel Location Estimation, Edge Detector Performance 9 Hough Transform, Ellipse Fitting Hough Transform, Line Detection, Circle Fitting, Ellipse Fitting 6 Active Contours Active Contour Models 3 Term Project Presentation Student Term Project and Presentation 3

Evaluation and grading policy Homework, Project, Exam

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
E. Trucco and A. Verri, Introductory Techniques for 3-D Computer Vision, Prentice Hall, 1998.

The access to curricular consultation Office Hours.

The course corresponds to the SDGs SDG10：減少不平等（Reduced Inequalities）

Does the course incorporate AI ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）

Note
　

Instructor	Lin, Huei-Yung　Office Hours
Email	lin@ntut.edu.tw
Last Updated	2025-12-17 17:32:22
Course Objective	本課程在介紹電腦視覺的基本概念與使用技術. 課程內容包含: 1.introduction to computer vision 2.geometric camera calibration 3.illumination 4.geometry of multiple view 5.structure from motion 6.segmentation by clustering 7.tracking models 8.model-based vision 9.image-based rendering. The goal of this course is to introduce the basic concepts and techniques of computer vision. The outline of this course includes: 1.introduction to computer vision 2.geometric camera calibration 3.illumination 4.geometry of multiple view 5.structure from motion 6.segmentation by clustering 7.tracking models 8.model-based vision 9.image-based rendering.
Course Schedule	Digital Image Formation Image Geometry, Sampling and Quantization, Image Definition 3 Optics, Digital Image Acquisition Lens Equation, Image Resolution, Depth of Field, View Volume 6 Image Manipulation Image Filtering, Image Enhancement, Image Restoration in Spatial and Frequency Domain 9 Binary Image Processing Thresholding, Geometric Properties, Projections, Run-Length Encoding, Binary Algorithms, Morphologic Operators, OCR 9 Region and Edges Region Segmentation, Region Representation, Split and Merge, Region Growing 6 Image Features Gradient, Edge Detection, Corner Detection, Image Approximation, Subpixel Location Estimation, Edge Detector Performance 9 Hough Transform, Ellipse Fitting Hough Transform, Line Detection, Circle Fitting, Ellipse Fitting 6 Active Contours Active Contour Models 3 Term Project Presentation Student Term Project and Presentation 3
Evaluation and grading policy	Homework, Project, Exam
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes E. Trucco and A. Verri, Introductory Techniques for 3-D Computer Vision, Prentice Hall, 1998.
The access to curricular consultation	Office Hours.
The course corresponds to the SDGs	SDG10：減少不平等（Reduced Inequalities）
Does the course incorporate AI	● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
Note