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Camera and Imaging(으)로 돌아가기

컬럼비아대학교의 Camera and Imaging 학습자 리뷰 및 피드백

4.6
별점
36개의 평가
8개의 리뷰

강좌 소개

This course covers the fundamentals of imaging – the creation of an image that is ready for consumption or processing by a human or a machine. Imaging has a long history, spanning several centuries. But the advances made in the last three decades have revolutionized the camera and dramatically improved the robustness and accuracy of computer vision systems. We describe the fundamentals of imaging, as well as recent innovations in imaging that have had a profound impact on computer vision. This course starts with examining how an image is formed using a lens camera. We explore the optical characteristics of a camera such as its magnification, F-number, depth of field and field of view. Next, we describe how solid-state image sensors (CCD and CMOS) record images, and the key properties of an image sensor such as its resolution, noise characteristics and dynamic range. We describe how image sensors can be used to sense color as well as capture images with high dynamic range. In certain structured environments, an image can be thresholded to produce a binary image from which various geometric properties of objects can be computed and used for recognizing and locating objects. Finally, we present the fundamentals of image processing – the development of computational tools to process a captured image to make it cleaner (denoising, deblurring, etc.) and easier for computer vision systems to analyze (linear and non-linear image filtering methods)....

최상위 리뷰

필터링 기준:

Camera and Imaging의 9개 리뷰 중 1~9

교육 기관: Derek

2022년 5월 16일

Not a beginner friendly course, very little explaination !

All topics are quickly covered and details are skipped. Learners without image processing knowledge or advanced calculus will easily struggle and get stuck. Furthermore, after hours and hours trying to understand strange equations that the lecturer quicky covered, leaners would be frustrated as those equations won't be used or even seen again. Most importantly, not a single example is given.

Worst course I've ever taken. Those who giving 5 stars are probably already know all the things

교육 기관: Guy S

2021년 11월 2일

G​ood introduction to camera and imaging topics - great first course for the First Principles of Computer Vision Specialization program.

교육 기관: Fernando M

2022년 1월 12일

I​ was expecting to actually learn about how to choose a camera for Computer Vision application. Concepts like resolution for a certain application, FOV, sensor size needed to be included on this course.

교육 기관: Andrew

2022년 5월 10일

I'm giving 1 star because of this description: "Students are required to know the fundamentals of linear algebra and the fundamentals of calculus. No prior knowledge of imaging or computer vision are assumed."

in fact, the teacher taught as if he assumed you have prior knowledge of imaging or computer vision. Complex maths were not well covered, discussion forum was helpless.

교육 기관: Guillermo C

2022년 1월 20일

V​ery clear and entertaining. The content and quizes are easy and do not require much extra study (other than watching the videos). Nonetheless, as an introduction to the subject it feels very complete.

교육 기관: 胡纲

2022년 5월 8일

Good contents to cover basic camera and imaging.

교육 기관: JETHE K

2022년 1월 14일

The lectures are amazing!!!

교육 기관: Olivier P

2021년 12월 13일

Really well explained !!!

교육 기관: Henry R

2021년 12월 19일

Some topics are too advanced for a beginner course.

Some basic and fundamental materials are not clearly covered. It requires a lot work for students to study some fundamental materials if students are not familiar with signal and image processing.