2 項進行中

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 進行中 8/24 – 9/18
  • 初選第三階段 8/31 – 9/3
  • 開學後加退選 進行中 9/7 – 9/21
  • 逾期加退選 9/21 – 9/24
選課資源

加入行事曆

選擇訂閱 Google Calendar,或下載通用的 ICS 檔案。

使用 Google Calendar 時,Google 會收到這份課表的公開連結。

電腦視覺(英文授課)

Computer Vision

學期
110-2
學分
0 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(光復)
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

備註

無備註

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

    * Geometric camera model * Camera calibration * Illumination and shading * Color

  • Features

    * Convolution and filtering * Edge detection * Texture * Key point and descriptor

  • 3D reconstruction

    * Epipolar geometry * Structure from motion * Photometric stereo or shape from shading * Visual hull

  • Advanced topics

    E.g. * Modern image segmentation * learning-based methods * Other related 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