The Handbook of Mathematical Models in Computer Vision offers a comprehensive analysis of the mathematical approaches to modeling and reproducing human visual capabilities. It brings together insights from various disciplines, including biology, medicine, neurophysiology, and engineering, to understand the complex processes of visual perception. The authors, Nikos Paragios, Yunmei Chen, and Olivier D. Faugeras, illuminate the development of theories inspired by David Marr and expand upon them with modern concepts from statistical pattern recognition and artificial intelligence. The book is a valuable resource for researchers and practitioners working at the intersection of mathematics and computer vision, addressing the challenges of visual perception in technical applications.