電腦視覺
Computer Vision
學期
113-2
學分
3
學分
當期課號
639010
永久課號
AICA30022
開課單位
智慧科學暨綠能學院
授課教師
謝君偉
校區
歸仁
類別
選修
上課時間表
| 節 | 週一 |
|---|---|
5 13:20–14:10 | 電腦視覺 CM214 3 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
概述
This course discusses the core techniques in computer vision, such as video processing, feature extraction, dimension reduction, 3D reconstruction, and object detection and tracking. The goal is to learn the techniques in computer vision, connect to the industry, and apply them to the smart home, autonomous vehicle, defect detection, security monitoring, medical image, etc. The presentation is required by the end of the semester.
先修科目
無
評分方式
Assignment 40%、Mid-term exam20%、Final exam20%、Report / Presentation 20%
週次計畫
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction to Computer Vision Link: https://meet.google.com/czm-jktx-apj |
| 第 2 週 | Introduction to Camera Models |
| 第 3 週 | Edge and Line Detection |
| 第 4 週 | Hough Transform |
| 第 5 週 | Feature Extraction and Matching |
| 第 6 週 | Object Detection |
| 第 7 週 | Object Tracking I |
| 第 8 週 | Midterm Exam |
| 第 9 週 | Object Tracking II |
| 第 10 週 | Color Image Processing |
| 第 11 週 | Guest Lecture |
| 第 12 週 | Object Segmentation |
| 第 13 週 | Feature Point Extraction and Matching |
| 第 14 週 | Gaussian Mixture Model |
| 第 15 週 | 3D Depth Estimation and Reconstruction |
| 第 16 週 | Final Exam / Presentation |
教科書
1.G. Shapiro, and G. C. Stockman, Computer vision 2.M. R. Haralick, andL. G. Shapiro, Computer and robot vision