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"Bundle adjustment" as a book category covers the theory, algorithms, and practical applications of jointly estimating 3D scene structure and camera/sensor parameters from multiple images or measurements. Titles in this category focus on topics such as geometric vision and photogrammetry, structure-from-motion and SLAM, nonlinear optimization (e.g., Levenberg–Marquardt, sparse solvers), robust estimation, calibration, and implementation concerns like handling large-scale sparse systems and outliers. Books aimed at this category range from rigorous mathematical treatments for researchers and graduate students to hands-on guides and software-oriented manuals for engineers working in robotics, AR/VR, remote sensing, and 3D reconstruction. They typically assume familiarity with linear algebra, probability, and numerical optimization and emphasize both accuracy of reconstruction and computational efficiency in practical pipelines.

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