Foundations of Computer Vision

Focusing on the fundamentals of computer vision, this book explores methods for extracting valuable information from images and videos. It uniquely combines computational geometry, topology, and algorithms to tackle CV challenges, emphasizing shape tracking and object recognition. Readers will discover how computational geometry visualizes topological structures, while image topology aids in analyzing and classifying image regions. The inclusion of practical algorithms offers a systematic approach to understanding and interpreting image structures, making it a comprehensive resource for those interested in CV.