This Pinhole Camera & Image Formation Course introduces one of the most fundamental concepts in computer vision: how real-world 3D scenes are converted into 2D images. It is designed for beginners and students who want to understand the geometric foundations of image formation.
The course begins with an introduction to the pinhole camera model, explaining how light passes through a small aperture to form an image. Learners will study the concept of camera obscura, an early optical system that demonstrates the basic principles of image projection.
Students will then explore perspective projection in detail, including how 3D points in the real world are mapped onto a 2D image plane. The course explains different variants of 2D projection and how camera geometry affects image formation.
A key focus of the course is understanding how camera models are used in computer vision systems to represent real-world scenes mathematically. This knowledge is essential for tasks such as 3D reconstruction, object detection, and image processing.
By the end of this course, learners will have a clear understanding of the pinhole camera model and the principles of perspective projecti
