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Opiniones y comentarios de aprendices correspondientes a Camera and Imaging por parte de Universidad de Columbia

18 calificaciones
5 reseña

Acerca del Curso

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)....

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1 - 5 de 5 revisiones para Camera and Imaging

por Guy S

2 de nov. de 2021

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


14 de ene. de 2022

The lectures are amazing!!!

por Olivier P

13 de dic. de 2021

Really well explained !!!

por Henry R

19 de dic. de 2021

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.

por Fernando M

12 de ene. de 2022

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.