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Camera calibration as a book category covers the theory, methods, tools, and practical workflows used to determine the internal characteristics (intrinsic parameters) and external pose (extrinsic parameters) of cameras and camera arrays so that images can be interpreted metrically. Titles in this genre range from introductory texts on projective geometry and pinhole camera models to advanced treatments of calibration algorithms (checkerboard and marker-based methods, self-calibration, bundle adjustment, and learning-based approaches), error analysis and uncertainty quantification, multi-camera and multi-sensor calibration, and software/toolbox implementation and validation. Books may emphasize hands-on laboratory procedures and dataset-driven evaluation for robotics, photogrammetry, augmented reality, 3D reconstruction, and autonomous vehicles, or focus on mathematical foundations and research advances for graduate students and researchers. Practical chapters typically cover target design, lens distortion models, calibration best practices, and integration with computer vision pipelines and sensor fusion.

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