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Multiview geometry as a book category encompasses the mathematical foundations, algorithms, and practical methods for recovering and reasoning about three-dimensional scene structure and camera motion from multiple images. It covers camera models and calibration, projective and epipolar geometry, homographies, essential and fundamental matrices, triangulation, stereo and dense reconstruction, structure-from-motion and bundle adjustment, plus related topics in feature matching, optimization and uncertainty modeling. Books in this category range from rigorous theoretical treatments (projective and algebraic geometry, linear algebra) to algorithmic surveys, implementation guides, and applied texts for computer vision, robotics, photogrammetry, AR/VR and remote sensing. Target readers include advanced undergraduates, graduate students, researchers and practitioners working on 3D reconstruction and multi-camera systems.

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