K. Kanatani, Y. Sugaya, and Y. Kanazawa, Guide to 3D Vision Computation: Geometric Analysis and Implementation,
Springer International, Cham, Switzerland, December, 2016.

Springer Webpage (program codes available)

1. Introduction
   Part I Fundamental Algorithms for Computer Vision
2. Ellipse Fitting
3. Fundamental Matrix Computation
4. Triangulation
5. 3D Reconstruction from Two Views
6. Homography Computation
7. Planar Triangulation
8. 3D Reconstruction of a Plane
9. Ellipse Analysis and 3D Computation of Circles
   Part II Multiview 3D Reconstruction Techniques
10. Multiview Triangulation
11. Bundle Adjustment
12. Self-calibration of Affine Cameras
13. Self-calibration of Perspective Cameras
    Part III Mathematical Foundation of Geometric Estimation
14. Accuracy of Geometric Estimation
15. Maximum Likelihood of Geometric Estimation
16. Theoretical Accuracy Limit
    Solutions