About this Course
최근 조회 39,481

다음 전문 분야의 4개 강좌 중 1번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

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

완료하는 데 약 12시간 필요

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

영어

자막: 영어

배울 내용

  • 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

귀하가 습득할 기술

Computer VisionComputer ProgrammingMatlab

다음 전문 분야의 4개 강좌 중 1번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

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

완료하는 데 약 12시간 필요

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

영어

자막: 영어

Course을(를) 수강하는 학습자

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

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 3시간 필요

Computer Vision Overview

14개 동영상 (총 44분), 2 readings, 4 quizzes
14개의 동영상
Meet Jeff Bier1m
Meet Jungsong Yuan, Ph.D.24
What is Computer Vision?6m
Why Computer Vision?40
Related Fields of Computer Vision4m
Relevant Fields56
Computer Programming & Computer Vision1m
Computer Vision Awareness1m
Timelines & Milestones8m
Computer Vision Progression1m
Computer Vision Applications8m
CV Applications4m
CV Impact in the Field of Augmented Reality1m
2개의 읽기 자료
Resources (Optional): Computer Vision Overview30m
REQUIRED - MATLAB Resources10m
3개 연습문제
What is Computer Vision?2m
Related Fields of Computer Vision2m
MATLAB Basics
2
완료하는 데 3시간 필요

Color, Light, & Image Formation

4개 동영상 (총 32분), 1 reading, 5 quizzes
4개의 동영상
Pinhole Camera Model9m
Digital Camera5m
Color Theory8m
1개의 읽기 자료
Resources (Optional): Color, Light, & Image Formation30m
3개 연습문제
Light Sources4m
Pinhole Camera Model2m
Digital Camera2m
3
완료하는 데 2시간 필요

Low-, Mid- & High-Level Vision

5개 동영상 (총 32분), 1 reading, 3 quizzes
5개의 동영상
Low-, Mid-, High-Level Vision1m
Low-Level Vision8m
Mid-Level Vision7m
High-Level Vision6m
1개의 읽기 자료
Resources (Optional): Low-, Mid- and High-Level Vision30m
2개 연습문제
Three-Level Paradigm2m
Low-Level Vision2m
4
완료하는 데 2시간 필요

Mathematics for Computer Vision

8개 동영상 (총 10분), 2 readings, 2 quizzes
8개의 동영상
Mathematical Preliminaries27
Linear Algebra1m
Calculus45
Probability Theory35
Algorithms38
Using Algorithms1m
Aligning RGB channels2m
2개의 읽기 자료
Resources (Optional): Mathematics for Computer Vision30m
Computer Vision Basics - Key Takeaways10m
1개 연습문제
Algorithms2m
3.9
41개의 리뷰Chevron Right

Computer Vision Basics의 최상위 리뷰

대학: AMJun 15th 2019

This course is a good course to start computer vision for beginner level student, and I offer This course to everyone who is eager to learn computer vision conceptually.

대학: AAMay 6th 2019

The course content is good.There are too many examples and applications.I use python but using MATLAB for the computer vision is new experience for me.

강사

Avatar

Radhakrishna Dasari

Instructor
Department of Computer Science
Avatar

Junsong Yuan

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

뉴욕주립대학교 버펄로 캠퍼스 정보

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....

뉴욕주립대학교 정보

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....

컴퓨터 비전 전문 분야 정보

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....
컴퓨터 비전

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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