**Discover how computers interpret images and understand the visual world.**
Computer vision is a rapidly evolving field of artificial intelligence that enables computers to analyze and interpret visual information. From autonomous vehicles and facial recognition to medical imaging and industrial automation, computer vision plays an important role in technologies transforming our world. In this course, you'll explore the fundamental concepts behind computer vision and learn how computers process and interpret digital images. You'll develop an understanding of human vision, digital imaging, and the technologies that make computer vision possible. **What you'll learn:** - Understand the foundations of computer vision and its real-world applications. - Explore how light, color, and digital image formation work. - Learn the differences between low-, mid-, and high-level computer vision. - Understand how artificial intelligence, digital signal processing, and neuroscience contribute to computer vision. - Apply essential mathematical concepts, including linear algebra, calculus, and probability, to computer vision problems. - Gain hands-on experience using MATLAB to work with digital images and complete computer vision exercises. **Who should take this course?** This course is designed for students, engineers, programmers, and technology enthusiasts interested in understanding the foundations of computer vision. It is also suitable for learners who want to refresh their mathematical knowledge while exploring practical applications of computer vision. **Recommended prerequisites:** Learners should have basic programming experience, including loops and conditional statements, preferably in MATLAB. Familiarity with linear algebra, 3D coordinate systems, calculus, and probability is recommended. New to MATLAB? You can review the free [MATLAB Onramp tutorial](https://www.mathworks.com/learn/tutorials/matlab-onramp.html) before starting. **Learning experience** The course combines video lectures, demonstrations, readings, discussions, and hands-on exercises. You'll have opportunities to apply what you learn through online MATLAB labs and computer vision programming activities. By the end of the course, you'll have a stronger foundation in computer vision and a better understanding of how mathematical and computational techniques are used to analyze visual information.
