學生透過本課程將可學習到電腦視覺應用的情境、場域與目的，並瞭解影像處理、取像設備與技巧、機器學習或深度學習抽取影像特徵的方法，進而了解如何進行物件偵測、物件追蹤以及物件辨識等技巧來解決實際問題。本課程也將透過不同產業的實際案例，讓學生了解如何結合AI電腦影像處理的知識，整合實際硬體取像設備、現場工作環境等，來解決實際問題，達到培育學生具備結合理論、實作與應用能力的目的。Through this course, students will learn the situation, field and purpose of computer vision applications, and understand image processing, image pickup equipment and techniques, machine learning or in-depth learning how to extract image characteristics, and then understand how to perform object detection, object tracking, object identification and other techniques to solve actual problems. This course will also use actual cases from different industries to let students understand how to combine knowledge about AI computer image processing, integrate actual hardware imaging equipment, live working environment, etc. to solve actual problems, and achieve the purpose of cultivating students to establish reasonable discussion, implementation and application capabilities.
自編教材
Self-edited textbooks
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 出席出席 Attend |
20 | |
| 作業作業 Action |
20 | |
| 期末專題期末專題 Final topics |
20 |
