👁️ Basics of Computer Vision
The Basics of Computer Vision Course, launched in 2022, provides a comprehensive introduction to the field. Each chapter includes video lectures, notes, slides, and quizzes. Mostly Content is included from Udacity Course Introduction of Computer Vision. The course also offers a curated collection of resources such as GitHub repositories, YouTube channels, and Reddit groups.
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📚🧑🎓📝Other Best Free Resources to Learn Computer Vision
Welcome to an Exciting Chapter on Computer Vision!
Discover a carefully curated collection of top-rated courses and valuable resources dedicated to Computer Vision. Whether you're just beginning your journey or a seasoned practitioner, there's something here for everyone to enhance their expertise in this cutting-edge field.
📚Chapter: 1-Introduction
In this chapter, learn about the difference between CV and CP, what is Computer Vision, Why study Computer Vision,OCR and Face Recognition, Object recognition, Special Effects and 3D Modeling, Smart Cars, and Vision is NOT Image Processing
📚Chapter : 13-Aliasing
This chapter series introduces Fourier Transform, explaining how signals are analyzed in the frequency domain, the role of convolution, and the efficiency of FFT. It also covers practical applications like smoothing, blurring, and filtering, along with key properties and common Fourier pairs to understand signal behavior.
📚Chapter : 14-L1 Cameras and images
This chapter explains the basics of how images are created using light, apertures, and different types of lenses
📚Chapter : 15-L2 Perspective imaging
This chapter explains the basics of how images are created using light, apertures, and different types of lenses