Is computer vision a hard subject?
Challenges of Computer Vision
Inventing a machine that sees like we do is a deceptively difficult task, not just because it's hard to make computers do it, but because we're not entirely sure how human vision works in the first place..
What are the subjects in computer vision?
Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs — and take actions or make recommendations based on that information..
What are the topics of computer vision?
Introduction to Computer Vision
The course covers fundamental CV theories such as image formation, feature detection, motion estimation, and camera imaging geometry.
Also, it covers the essentials of using low to mid-level algorithms to analyze images and extract structural information..
What does computer vision include?
Before diving into computer vision projects, you need to have a solid foundation in the fundamentals of AI, mathematics, and programming.
You should be familiar with concepts such as machine learning, neural networks, linear algebra, calculus, statistics, and probability..
What does computer vision include?
Programming languages
Python is especially recommended, as it has many libraries and frameworks that make computer vision easier and faster, such as NumPy, OpenCV, TensorFlow, and PyTorch.
You also need to be familiar with basic data structures, algorithms, and object-oriented programming concepts..
