課程信息

第 1 門課程(共 1 門)

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立即開始,按照自己的計劃學習。

可靈活調整截止日期

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中級

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

完成時間大約為12 小時

建議:4 weeks of study, 4-5 hours per week...

英語(English)

字幕:英語(English)

您將學到的內容有

  • Check

    Understand what computer vision is and its goals

  • Check

    Identify some of the key application areas of computer vision

  • Check

    Understand the digital imaging process

  • Check

    Apply mathematical techniques to complete computer vision tasks

您將獲得的技能

Computer VisionComputer ProgrammingMatlab

第 1 門課程(共 1 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

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

完成時間大約為12 小時

建議:4 weeks of study, 4-5 hours per week...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 3 小時

Computer Vision Overview

In this module, we will discuss what computer vision is, the fields related to it, the history and key milestones of it, and some of its applications....
14 個視頻 (總計 44 分鐘), 2 個閱讀材料, 4 個測驗
14 個視頻
Meet Jeff Bier1分鐘
Meet Jungsong Yuan, Ph.D.24
What is Computer Vision?6分鐘
Why Computer Vision?40
Related Fields of Computer Vision4分鐘
Relevant Fields56
Computer Programming & Computer Vision1分鐘
Computer Vision Awareness1分鐘
Timelines & Milestones8分鐘
Computer Vision Progression1分鐘
Computer Vision Applications8分鐘
CV Applications4分鐘
CV Impact in the Field of Augmented Reality1分鐘
2 個閱讀材料
Resources (Optional): Computer Vision Overview30分鐘
REQUIRED - MATLAB Resources10分鐘
3 個練習
What is Computer Vision?2分鐘
Related Fields of Computer Vision2分鐘
MATLAB Basics
2
完成時間為 3 小時

Color, Light, & Image Formation

In this module, we will discuss color, light sources, pinhole and digital cameras, and image formation....
4 個視頻 (總計 9 分鐘), 1 個閱讀材料, 5 個測驗
4 個視頻
Pinhole Camera Model4分鐘
Digital Camera2分鐘
Color Theory1分鐘
1 個閱讀材料
Resources (Optional): Color, Light, & Image Formation30分鐘
3 個練習
Light Sources4分鐘
Pinhole Camera Model2分鐘
Digital Camera2分鐘
3
完成時間為 2 小時

Low-, Mid- & High-Level Vision

In this module, we will discuss the three-level paradigm of computer vision that was proposed by David Marr. We will also discuss low, mid, and high level vision....
5 個視頻 (總計 8 分鐘), 1 個閱讀材料, 3 個測驗
5 個視頻
Low-, Mid-, High-Level Vision1分鐘
Low-Level Vision55
Mid-Level Vision1分鐘
High-Level Vision1分鐘
1 個閱讀材料
Resources (Optional): Low-, Mid- and High-Level Vision30分鐘
2 個練習
Three-Level Paradigm2分鐘
Low-Level Vision2分鐘
4
完成時間為 2 小時

Mathematics for Computer Vision

In this lecture, we will discuss the Mathematics used in Computer Vision, which includes linear algebra, calculus, probability, and much more....
7 個視頻 (總計 8 分鐘), 2 個閱讀材料, 2 個測驗
7 個視頻
Mathematical Preliminaries27
Linear Algebra1分鐘
Calculus45
Probability Theory35
Algorithms38
Using Algorithms1分鐘
2 個閱讀材料
Resources (Optional): Mathematics for Computer Vision30分鐘
Computer Vision Basics - Key Takeaways10分鐘
1 個練習
Algorithms2分鐘

講師

Avatar

Radhakrishna Dasari

Instructor
Department of Computer Science
Avatar

Junsong Yuan

Associate Professor and Director of Visual Computing Lab
Computer Science and Engineering

關於 纽约州立大学布法罗分校

The University at Buffalo (UB) is a premier, research-intensive public university and the largest, most comprehensive institution of the State University of New York (SUNY) system. UB offers more than 100 undergraduate degrees and nearly 300 graduate and professional programs....

關於 纽约州立大学纽约州立大学

The State University of New York, with 64 unique institutions, is the largest comprehensive system of higher education in the United States. Educating nearly 468,000 students in more than 7,500 degree and certificate programs both on campus and online, SUNY has nearly 3 million alumni around the globe....

關於 计算机视觉 專項課程

This specialization provides a foundation in the rapidly expanding research field of computer vision, laying the groundwork necessary for designing sophisticated vision applications. Learners explore the integral elements that enable vision applications, ranging from editing images to reading traffic signs in self-driving cars to factory robots navigating around human co-workers. Content includes image processing and state-of-the-art vision techniques, augmented by insights from top leaders in the computer vision field. Learners gain hands-on experience writing computer vision programs through online labs using MATLAB and supporting toolboxes. The specialization is taught in MATLAB* using computer vision and supporting toolboxes. Learners should have basic programming skills and experience (understanding of for loops, if/else statements), specifically in MATLAB (Mathworks provides the basics here: https://www.mathworks.com/learn/tutorials/matlab-onramp.html). 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) and basic probability (random variables). To learn more, check out a video overview at https://youtu.be/OfxVUSCPXd0. * A free license to install MATLAB for the duration of the course is available from MathWorks....
计算机视觉

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