このコースについて

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中級レベル

Basic programming skills & experience; familiarity with basic linear algebra, calculus & probability, and 3D co-ordinate systems & transformations

約10時間で修了
英語
字幕:英語

学習内容

  • Understand what computer vision is and its goals

  • Identify some of the key application areas of computer vision

  • Understand the digital imaging process

  • Apply mathematical techniques to complete computer vision tasks

習得するスキル

Computer VisionComputer ProgrammingMatlab
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
柔軟性のある期限
スケジュールに従って期限をリセットします。
中級レベル

Basic programming skills & experience; familiarity with basic linear algebra, calculus & probability, and 3D co-ordinate systems & transformations

約10時間で修了
英語
字幕:英語

提供:

バッファロー大学(University at Buffalo) ロゴ

バッファロー大学(University at Buffalo)

ニューヨーク州立大学(The State University of New York) ロゴ

ニューヨーク州立大学(The State University of New York)

シラバス - 本コースの学習内容

コンテンツの評価Thumbs Up96%(4,342 件の評価)Info
1

1

3時間で修了

Computer Vision Overview

3時間で修了
13件のビデオ (合計42分), 2 readings, 4 quizzes
13件のビデオ
Meet Jungsong Yuan, Ph.D.24
What is Computer Vision?6 分
Why Computer Vision?40
Related Fields of Computer Vision4 分
Relevant Fields56
Computer Programming & Computer Vision1 分
Computer Vision Awareness1 分
Timelines & Milestones8 分
Computer Vision Progression1 分
Computer Vision Applications8 分
CV Applications4 分
CV Impact in the Field of Augmented Reality1 分
2件の学習用教材
Resources (Optional): Computer Vision Overview30 分
REQUIRED - MATLAB Resources10 分
3の練習問題
What is Computer Vision?2 分
Related Fields of Computer Vision2 分
MATLAB Basics5 分
2

2

3時間で修了

Color, Light, & Image Formation

3時間で修了
4件のビデオ (合計32分), 1 reading, 5 quizzes
4件のビデオ
Pinhole Camera Model9 分
Digital Camera5 分
Color Theory8 分
1件の学習用教材
Resources (Optional): Color, Light, & Image Formation30 分
3の練習問題
Light Sources4 分
Pinhole Camera Model2 分
Digital Camera2 分
3

3

2時間で修了

Low-, Mid- & High-Level Vision

2時間で修了
5件のビデオ (合計32分), 1 reading, 3 quizzes
5件のビデオ
Low-, Mid-, High-Level Vision1 分
Low-Level Vision8 分
Mid-Level Vision7 分
High-Level Vision6 分
1件の学習用教材
Resources (Optional): Low-, Mid- and High-Level Vision30 分
2の練習問題
Three-Level Paradigm2 分
Low-Level Vision2 分
4

4

2時間で修了

Mathematics for Computer Vision

2時間で修了
8件のビデオ (合計10分), 2 readings, 2 quizzes
8件のビデオ
Mathematical Preliminaries27
Linear Algebra1 分
Calculus45
Probability Theory35
Algorithms38
Using Algorithms1 分
Aligning RGB channels2 分
2件の学習用教材
Resources (Optional): Mathematics for Computer Vision30 分
Computer Vision Basics - Key Takeaways10 分
1の練習問題
Algorithms2 分

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  • Learners should have basic programming skills and experience (understanding of for loops, if/else statements). Learners should also be familiar with the following: basic linear algebra (matrix vector operations and notation), 3D co-ordinate systems and transformations, basic calculus (derivatives and integration), basic probability (random variables), and 3D co-ordinate systems & transformations.

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