Computer Vision: Three-dimensional Reconstruction Techniques

Foreword.- Preface.- Acknowledgements.- Introduction.- Fundamentals of Imaging.- The Pinhole Camera Model.-  Camera Calibration.-  Absolute and Exterior Orientation.-  Two-view Geometry.- Relative Orientation.- Reconstruction from Two Images.- Nonlinear Regression.- Stereopsis: geometry.-  Stereopsis: matching.- Renge Sensors.- Multiview Euclidean Reconstruction.- 3D Registration.- Multiview Projective Reconstruction and Autocalibration.- Multi-View Stereo Reconstruction.- Image-based Rendering.- A Notions of linear algebra.- B Matrix Differential Calculation.- C Regression.- D Notions of Projective Geometry.- D Math Lab code.- Index.