About this Course
6,603

다음의 3/4개 강좌

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 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

    Develop 3D vision applications using a stereo imaging system

  • Check

    Understand epipolar geometry

  • Check

    Understand motion perception, motion field and optical flow

  • Check

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

귀하가 습득할 기술

Computer ProgrammingStereopsisMatlab3D Vision

다음의 3/4개 강좌

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 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

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 7시간 필요

Stereo Vision

In this module, we will discuss the fundamentals and applications of stereo vision and multiple camera systems....
5 videos (Total 20 min), 2 readings, 10 quizzes
5개의 동영상
Stereo Vision Fundamentals5m
Epipolar Geometry2m
Fundamental & Essential Matrices1m
Multiple View Geometry1m
2개의 읽기 자료
Resources (Optional): Stereo Vision30m
REQUIRED- MATLAB Resources10m
5개 연습문제
Stereo Vision Fundamentals12m
Epipolar Geometry2m
Fundamental & Essential Matrices6m
Multiple View Geometry2m
Stereo Vision30m
2
완료하는 데 1시간 필요

Dense Motion & SFM

In this module, we will discuss motion perception, optical flow, applications of dense motion, and structure from motion....
4 videos (Total 5 min), 1 reading, 1 quiz
4개의 동영상
Optical Flow1m
Dense Motion Applications13
Structure from Motion (SFM)1m
1개의 읽기 자료
Resources (Optional): Dense Motion & SFM30m
1개 연습문제
Optical Flow2m
3
완료하는 데 1시간 필요

Visual Tracking

This module provides information about visual tracking, including: object tracking, motion models, inferences used in tracking, and multi-object tracking....
5 videos (Total 8 min), 1 reading, 1 quiz
5개의 동영상
Motion Models & Tracking42
Tracking as Inference1m
Multi-Object Tracking2m
Is Multi-Object Tracking Difficult?1m
1개의 읽기 자료
Resources (Optional): Visual Tracking30m
1개 연습문제
Tracking as Inference2m
4
완료하는 데 2시간 필요

3D Vision

This module discusses the active methods used to develop 3D vision, as well as the applications of 3D vision....
6 videos (Total 14 min), 2 readings, 1 quiz
6개의 동영상
Why is 3D Vision Important?33
Shape from X1m
Depth from Active Sensing56
Model-Based Reconstruction38
Visual Odometry & SLAM3m
2개의 읽기 자료
Resources (Optional): 3D Vision30m
Stereo Vision, Dense Motion & Tracking - Key Takeaways10m

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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