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#### 中級

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

### 您將學到的內容有

• Develop 3D vision applications using a stereo imaging system

• Understand epipolar geometry

• Understand motion perception, motion field and optical flow

• Discuss the techniques used to obtain the 3D structure of objects

### 您將獲得的技能

Computer ProgrammingStereopsisMatlab3D Vision

• Machine Learning Engineers
• Researchers
• Data Scientists
• Technical Solutions Engineers
• Software Engineers

#### 中級

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

1

## Stereo Vision

5 個視頻 （總計 20 分鐘）, 2 個閱讀材料, 8 個測驗
5 個視頻
Stereo Vision Fundamentals5分鐘
Epipolar Geometry2分鐘
Fundamental & Essential Matrices1分鐘
Multiple View Geometry1分鐘
2 個閱讀材料
Resources (Optional): Stereo Vision30分鐘
REQUIRED- MATLAB Resources10分鐘
5 個練習
Stereo Vision Fundamentals12分鐘
Epipolar Geometry2分鐘
Fundamental & Essential Matrices6分鐘
Multiple View Geometry2分鐘
Stereo Vision30分鐘
2

## Dense Motion & SFM

4 個視頻 （總計 5 分鐘）, 1 個閱讀材料, 1 個測驗
4 個視頻
Optical Flow1分鐘
Dense Motion Applications13
Structure from Motion (SFM)1分鐘
1 個閱讀材料
Resources (Optional): Dense Motion & SFM30分鐘
1 個練習
Optical Flow2分鐘
3

## Visual Tracking

5 個視頻 （總計 8 分鐘）, 1 個閱讀材料, 1 個測驗
5 個視頻
Motion Models & Tracking42
Tracking as Inference1分鐘
Multi-Object Tracking2分鐘
Is Multi-Object Tracking Difficult?1分鐘
1 個閱讀材料
Resources (Optional): Visual Tracking30分鐘
1 個練習
Tracking as Inference2分鐘
4

## 3D Vision

6 個視頻 （總計 14 分鐘）, 2 個閱讀材料, 1 個測驗
6 個視頻
Why is 3D Vision Important?33
Shape from X1分鐘
Depth from Active Sensing56
Model-Based Reconstruction38
Visual Odometry & SLAM3分鐘
2 個閱讀材料
Resources (Optional): 3D Vision30分鐘
Stereo Vision, Dense Motion & Tracking - Key Takeaways10分鐘

## 講師

Instructor
Department of Computer Science

### 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....

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