Course

Introduction to Computer Vision

MathWorks

In the "Introduction to Computer Vision" course, you'll delve into the fundamentals of computer vision and its applications in engineering and science. Throughout this course, you will learn and apply common algorithms for feature detection, extraction, and matching. Additionally, you'll master the techniques for image registration by identifying control points and estimating geometric transformations. The course culminates with a final project that involves stitching together images from NASA’s Mars Curiosity Rover to create panorama images.

  • Gain practical experience in feature detection and image stitching using MATLAB.
  • Understand the importance of image registration for comparing and combining images from various scientific instruments.
  • Complete a final project involving the stitching of images from NASA's Mars Curiosity Rover.
  • Acquire valuable skills for motion estimation, object tracking, and machine learning applications.

This course is ideal for individuals with some prior image processing experience and offers free access to MATLAB for the course duration. Upon completion, you'll be equipped with the essential knowledge and skills to tackle real-world computer vision tasks with confidence.

Certificate Available ✔

Get Started / More Info
Introduction to Computer Vision
Course Modules

The "Introduction to Computer Vision" course comprises four modules that cover feature detection, image registration, and image stitching using MATLAB. Gain practical experience through a final project stitching images from NASA's Mars Curiosity Rover.

Introduction to Features

The "Introduction to Features" module provides an overview of computer vision and introduces the concept of features. You'll learn about choosing feature types and gain familiarity with MATLAB, an essential tool for the course. The module includes a graded quiz to assess your understanding of feature detection and extraction.

Working With Features

In the "Working With Features" module, you'll delve deeper into feature detection, extraction, and matching. You'll refine your skills in detecting and extracting features, as well as matching them. Additionally, you'll have the opportunity to apply feature detection on your own images and complete a graded quiz to evaluate your proficiency.

Image Registration

The "Image Registration" module focuses on estimating and applying geometric transformations, essential for image registration. You'll learn about feature-based image registration and visually selecting control points. The module also includes a graded quiz and a concept check to solidify your understanding of geometric transformations.

Image Stitching

In the "Image Stitching" module, you'll explore the process of stitching images together to create panorama images. The module culminates with a final project involving the stitching of images from NASA's Mars Curiosity Rover. You'll also be encouraged to share your feedback and insights gained from completing the course.

More Electrical Engineering Courses

Battery Technologies

Arizona State University

Battery Technologies is a comprehensive Specialization focusing on various battery types, their applications, and management in electric vehicles scenarios.

Programa especializado en circuitos eléctricos con SPICE

Pontificia Universidad Católica de Chile

Enroll in the specialized program on electric circuits with SPICE to master static and dynamic behavior, resistive circuits, power analysis, and transformer behavior....

Electric Power Systems

The State University of New York

Electric Power Systems provides a foundational understanding of the electric utility industry, covering generation, transmission, distribution, renewable energy,...

Requirements Writing

UNSW Sydney (The University of New South Wales)

This course provides a comprehensive guide to writing text-based requirement statements, following the INCOSE guidelines. It is suitable for individuals in various...