3D structure from multiple images of large scale environments

The book covers a comprehensive range of topics related to 3D reconstruction and modeling techniques. It begins with an overview of various projects and progresses to advanced algorithms for scene reconstruction, emphasizing dualizing methods and multiview relations. The geometry of multiple affine views and tensor embedding of the fundamental matrix are explored, alongside optimal estimation of matching constraints. The text discusses matching and reconstruction from widely separated views and enhances block-based disparity estimation by addressing non-uniform error distribution. Additionally, it delves into 3D structure extraction from multiple images, integrating 3D motion with structure estimation, and high-accuracy multi-camera acquisitions. The book addresses metric 3D surface reconstruction from uncalibrated sequences and automatic model construction for turn-table sequences, highlighting calibration and reconstruction using scene constraints. Geometrically constrained structure from motion is examined, including points on planes and the transition from ordinal to Euclidean reconstruction with partial scene calibration. It also covers imposing Euclidean constraints during self-calibration and interactive 3D modeling using scene regularities. The integration of multiple range maps through consistency processing, fitting geometrical deformable models to range images, and the application of reality models in augmented re