Computer Vision Basics

Instructors: Radhakrishna Dasari +1 more

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What you'll learn

  •   Understand what computer vision is and its goals
  •   Identify some of the key application areas of computer vision
  •   Understand the digital imaging process
  •   Apply mathematical techniques to complete computer vision tasks
  • Skills you'll gain

  •   Probability & Statistics
  •   Matlab
  •   Computer Graphics
  •   Visualization (Computer Graphics)
  •   Linear Algebra
  •   Artificial Intelligence
  •   Algorithms
  •   Digital Design
  •   Calculus
  •   Computer Vision
  •   Data Processing
  •   Image Analysis
  • There are 4 modules in this course

    This course is ideal for anyone curious about or interested in exploring the concepts of computer vision. It is also useful for those who desire a refresher course in mathematical concepts of computer vision. Learners should have basic programming skills and experience (understanding of for loops, if/else statements), specifically in MATLAB (Mathworks provides the basics here: https://www.mathworks.com/learn/tutorials/matlab-onramp.html). Learners should also be familiar with the following: basic linear algebra (matrix vector operations and notation), 3D co-ordinate systems and transformations, basic calculus (derivatives and integration) and basic probability (random variables). Material includes online lectures, videos, demos, hands-on exercises, project work, readings and discussions. Learners gain experience writing computer vision programs through online labs using MATLAB* and supporting toolboxes. * A free license to install MATLAB for the duration of the course is available from MathWorks.

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