This lecture covers the fundamental concepts of image formation, starting with analog images represented by 2D light intensity functions. It then delves into digital images, explaining the discretization of spatial and grayscale values. The lecture also explores black and white images, color images, and the basics of camera geometry, including coordinate systems and the camera coordinate system. Additionally, it discusses the pinhole camera model, virtual images, and the concept of homogeneous coordinates. The presentation concludes with an overview of intrinsic and extrinsic camera parameters, projection matrices, and camera calibration.