Image Formation in Computer Vision

In this post we explore concept of image formation in computer vision, in detailed manner and try to understand its working. So Let’s start with definition.

What is Image formation?

Image formation in computer vision refers to the process of capturing and representing visual information in the form of digital images. It involves the conversion of real-world scenes into a digital format that can be processed and analyzed by computer algorithms. Understanding the image formation process is crucial for various computer vision tasks such as object detection, recognition, and tracking.

The image formation process typically involves the following stages:

1. Scene: The process begins with a real-world scene that contains objects, lighting conditions, and a viewing perspective. The scene can be indoor or outdoor and may involve various objects, textures, colors, and shapes.
2. Illumination: Illumination refers to the light sources present in the scene. It plays a vital role in determining the appearance of objects in an image. The lighting conditions, such as brightness, color, and direction, affect how the objects and their features are represented in the image.
3. Reflectance: Reflectance describes the interaction between light and the objects in the scene…