進行中 校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15 – 6/18
  • 初選第二階段 6/22 – 6/25
  • 校際選修 8/24 – 9/18
  • 初選第三階段 8/31 – 9/3
  • 開學後加退選 9/7 – 9/21
  • 逾期加退選 9/21 – 9/24
選課資源

電腦視覺(英文授課)

Computer Vision

學期
110-2
學分
3 學分
當期課號
5283
永久課號
ILE5062
開課單位
多媒體工程研究所
授課教師
林奕成
校區
光復
類別
選修
上課時間表
週二
3
10:10–11:00
電腦視覺(英文授課)
EC114
2 節連堂
4
11:10–12:00

* 根據陽明交大上課時間表所列

概述

The goal of this course is to introduce the essential concepts and techniques of computer vision, from camera models, feature extraction, segmentation to depth recovery. Advanced topics, such as learning-based methods or modern image segmentation, will also be introduced.

先修科目

Computer programming with C/C++ or Python, data structure and algorithms, matrix computation

教學方式

# The temporary announcement page for students who have not enrolled in this class: https://reurl.cc/DdqNbE # The official course page is at E3, NYCU: https://e3.nycu.edu.tw/course/view.php?id=35230 # According to the department's new suggestions about epidemic prevention, our classes for at least the first two weeks will be taught online.

評分方式

(Provisional) * Programming homework 30~60% * Paper study and presentation 5~15% * Exams 15~30% * Term project 30~50% * Class participation 0~10%

課程大綱
  • Image formation and models
  • Features
  • 3D reconstruction
  • Advanced topics
  • Presentation and demo
週次計畫
週次主題
第 1 週Overview of computer vision
第 2 週Geometric camera model
第 3 週Camera calibration
第 4 週Illumination and shading
第 5 週Convolution and filtering
第 6 週Texture and key points
第 7 週key points and matching
第 8 週Image alignment and panorama
第 9 週Epipolar geometry
第 10 週Structure from motion
第 11 週Depth map estimation
第 12 週Exam
第 13 週Advanced topics (I)
第 14 週Paper study and project proposal
第 15 週Paper study and project proposal
第 16 週Advanced topics or project proposal
第 17 週Flexible learning week
第 18 週Presentation and demo
教科書

Text book: * David A. Forsyth and Jean Ponce, Computer Vison: A Modern Approach, Prentice Hall, New Jersey, (2012 or 2003 version) Reference book: * Richard Szeliski, Computer Vision: Algorithms and Applications, Springer Verlag London, 2011.

Office Hours
地點
EC704
時間
To be announced
聯絡方式
Phone ext: 56684 Email: ichenlin@cs.nctu.edu.tw