First Principles of Computer Vision Specialization

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Course Features

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Duration

7 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Effort

2 hours per week

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Teaching Type

Self Paced

Course Description

This specialization is the first to cover the entire foundations of computer visualisation. This specialization focuses on the mathematical as well as physical foundations of vision. It is intended for researchers, practitioners, and learners who are new to computer vision. This program includes five courses. This specialization can lead to a career in computer vision. It is a growing field with a lot of potential.

Course Overview

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International Faculty

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Master the working principles of a digital camera and learn the fundamentals of imaging processing

Create a theory of feature detection and develop algorithms for extracting features from images

Explore novel methods for using visual cues (shading, defocus, etc) to recover the 3D shape of an object from multiple images or viewpoints

Get exposed to fundamental perceptions tasks such as image segmentation, object tracking, and object recognition

Course Instructors

Shree Nayar

T. C. Chang Professor

Shree K. Nayar is the T. C. Chang Professor of Computer Science at Columbia University. He heads the Columbia Vision Laboratory (CAVE), which develops computational imaging and computer vision system...
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