Multiple View Geometry in Computer Vision by Richard Hartley (Paperback, 25 March 2004) is a definitive textbook for understanding the mathematical foundations of computer vision involving multiple images. Widely used in academic courses and research, this book focuses on how three-dimensional scenes can be reconstructed and understood from two or more camera views.

The author presents complex geometric concepts with clarity, building from basic projective geometry to advanced topics such as camera models, epipolar geometry, homographies, and 3D reconstruction. Emphasis is placed on real-world applications, helping readers connect theory with practical computer vision problems like motion estimation, stereo vision, and structure from motion.

The book is well organized, logically structured, and supported by clear diagrams and examples that aid comprehension. It is especially valuable for graduate students, researchers, and professionals working in computer vision, robotics, and image processing. Multiple View Geometry in Computer Vision remains an essential reference for anyone seeking a deep and rigorous understanding of visual geometry in modern computer vision systems.