Introduction to Computer Vision

A Quick and Easy Intro into Computer Vision

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Description

Do you want to start your journey in Computer Vision?


Or is it that Computer Vision interests you?


If you need a quick brush-up, or learning Computer Vision for the first time, you've come to the right place!


Let's get started learning one of the most interesting computer science topics out there right now. There's no need to fret if you haven't coded before. This courses starts from scratch.


Computer Vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering and computer science, it seeks to understand and automate tasks that the human visual system can do. This course will be a quick way to introduce to the Computer Vision world. You'll be a whiz in no time.


We'll begin with the basics of Computer Vision, learning about the digital image, discretization, domains and getting to know the image quantification. We'll soon move on to the basics of image information retrieval in Computer Vision.


Now, after completing this Introduction Course you can finish your training with The Complete Computer Vision Course available in my udemy profile with more than 12 hours duration.


I hope you're excited to dive into the World of Computer Vision with this course. Well, what are you waiting for? Let's get started!

What You Will Learn!

  • Become an advanced, confident, and modern Computer Vision expert from scratch
  • How to think and work like a developer: problem-solving, researching, workflows
  • Digital image processing: gray level transformations, geometric transformations, convolution, image enhancement and smoothing, morphological filters, etc.
  • Get fast and friendly support in the Q&A area

Who Should Attend!

  • Take this course if you want to start your journey in Computer Vision
  • Take this course if you have been trying to learn Computer Vision but: 1) still don't really understand Computer Vision, or 2) still don't feel confident to work real projects