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"3D reconstruction" as a book category covers the theory, algorithms, tools and applications for creating three-dimensional digital representations of real-world objects, scenes and environments from sensor data (images, video, LiDAR, depth cameras, etc.). Books in this category range from mathematical foundations—projective geometry, camera models, structure-from-motion, multi-view stereo, SLAM, point cloud processing, mesh generation and surface texturing—to modern data-driven approaches using deep learning for depth estimation and scene understanding, plus practical topics such as calibration, registration, noise handling, evaluation metrics and datasets. They target audiences from engineers and researchers to students and practitioners, and address applications in robotics, autonomous vehicles, AR/VR, cultural heritage digitization, medical imaging, architecture and visual effects, with formats spanning textbooks, hands-on tutorials, software/toolkit guides and research monographs.

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