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"Multiple-view geometry" as a book category covers the mathematical and computational principles for recovering and reasoning about three-dimensional scene structure and camera motion from two or more images. Such books explain camera models (pinhole and projective), epipolar geometry, stereo vision, structure-from-motion, camera calibration, feature matching, bundle adjustment and robust estimation, and often draw on linear algebra, projective and algebraic geometry, and optimization. They range from rigorous theoretical texts that develop proofs and algebraic tools to algorithm-focused guides and practical handbooks that emphasize implementation, datasets, and applications in robotics, augmented reality, photogrammetry, and 3D reconstruction. Readers can expect a mix of geometry, algorithms, and applied examples showing how multiple images constrain spatial relationships and enable reconstruction, motion estimation, and scene understanding.

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