Introduction to Computer Vision
Master fundamental computer vision techniques for feature detection, matching, and image registration using MATLAB.
Master fundamental computer vision techniques for feature detection, matching, and image registration using MATLAB.
This comprehensive course introduces essential computer vision concepts and algorithms. Students learn feature detection, extraction, and matching techniques for image alignment and stitching. The curriculum includes practical applications like satellite image registration and culminates in a project using NASA's Mars Curiosity Rover images.
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What you'll learn
Master feature detection and matching
Perform image registration techniques
Create panoramic image stitching
Analyze NASA Mars Rover images
Apply geometric transformations
Implement computer vision solutions
Skills you'll gain
This course includes:
44 Minutes PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 4 modules in this course
This foundational computer vision course teaches essential techniques for image analysis and manipulation. Through four modules, students learn feature detection, extraction, matching, and image registration methods. The curriculum combines theoretical concepts with practical applications, culminating in a real-world project using Mars Rover imagery.
Introduction to Features
Module 1 · 1 Hours to complete
Working With Features
Module 2 · 2 Hours to complete
Image Registration
Module 3 · 1 Hours to complete
Image Stitching
Module 4 · 2 Hours to complete
Fee Structure
Instructors
Online Course Developer at MathWorks
Amanda Wang is an Online Course Developer at MathWorks, specializing in creating educational content related to MATLAB and its applications in computer vision and deep learning. She holds dual Bachelor's degrees in Mathematics with Computer Science and Business Analytics from the Massachusetts Institute of Technology (MIT), which she completed in 2020. Currently, Amanda is pursuing a Master’s degree in Computer Science from the University of Illinois Urbana-Champaign.
Senior Online Content Developer at MathWorks
Matt Rich is a Senior Online Content Developer at MathWorks, where he specializes in creating educational materials related to MATLAB and its applications in engineering and data science. He holds both a PhD and an MS in Electrical Engineering from Iowa State University. His doctoral research focused on developing new methods for designing control systems over networks that experience communication interruptions due to random processes. His master's research involved system identification and robust control methods tailored for small unmanned aerial vehicles (UAVs) with uncertain physical parameters.
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