课程信息

第 1 门课程(共 1 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

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

完成时间大约为12 小时

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

英语(English)

字幕:英语(English)

您将学到的内容有

  • 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

您将获得的技能

Computer VisionComputer ProgrammingMatlab

第 1 门课程(共 1 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

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

完成时间大约为12 小时

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

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 3 小时

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 个视频 (总计 44 分钟), 2 个阅读材料, 4 个测验
14 个视频
Meet Jeff Bier1分钟
Meet Jungsong Yuan, Ph.D.24
What is Computer Vision?6分钟
Why Computer Vision?40
Related Fields of Computer Vision4分钟
Relevant Fields56
Computer Programming & Computer Vision1分钟
Computer Vision Awareness1分钟
Timelines & Milestones8分钟
Computer Vision Progression1分钟
Computer Vision Applications8分钟
CV Applications4分钟
CV Impact in the Field of Augmented Reality1分钟
2 个阅读材料
Resources (Optional): Computer Vision Overview30分钟
REQUIRED - MATLAB Resources10分钟
3 个练习
What is Computer Vision?2分钟
Related Fields of Computer Vision2分钟
MATLAB Basics
2
完成时间为 3 小时

Color, Light, & Image Formation

In this module, we will discuss color, light sources, pinhole and digital cameras, and image formation....
4 个视频 (总计 25 分钟), 1 个阅读材料, 5 个测验
4 个视频
Pinhole Camera Model9分钟
Digital Camera5分钟
Color Theory1分钟
1 个阅读材料
Resources (Optional): Color, Light, & Image Formation30分钟
3 个练习
Light Sources4分钟
Pinhole Camera Model2分钟
Digital Camera2分钟
3
完成时间为 2 小时

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 个视频 (总计 8 分钟), 1 个阅读材料, 3 个测验
5 个视频
Low-, Mid-, High-Level Vision1分钟
Low-Level Vision55
Mid-Level Vision1分钟
High-Level Vision1分钟
1 个阅读材料
Resources (Optional): Low-, Mid- and High-Level Vision30分钟
2 个练习
Three-Level Paradigm2分钟
Low-Level Vision2分钟
4
完成时间为 2 小时

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 个视频 (总计 8 分钟), 2 个阅读材料, 2 个测验
7 个视频
Mathematical Preliminaries27
Linear Algebra1分钟
Calculus45
Probability Theory35
Algorithms38
Using Algorithms1分钟
2 个阅读材料
Resources (Optional): Mathematics for Computer Vision30分钟
Computer Vision Basics - Key Takeaways10分钟
1 个练习
Algorithms2分钟

讲师

Avatar

Radhakrishna Dasari

Instructor
Department of Computer Science
Avatar

Junsong Yuan

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

关于 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....

关于 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....

关于 计算机视觉 专项课程

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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