 Geometry in computer vision

Geometry in computer vision refers to the study and application of geometric principles to understand, interpret, and manipulate visual data captured from the real world. It plays a crucial role in various tasks and algorithms that involve shape, position, and the three-dimensional structure of objects. Here are some key aspects of how geometry is applied in computer vision: 1. **Image Formation**: Geometry helps in understanding how a three-dimensional scene is projected onto a two-dimensional image sensor. This includes knowledge about camera models (e.