Numerical Methods for Geometric Vision: From Minimal to Large Scale Problems
This thesis presents a number of results and algorithms for the numerical solution of problems in geometric computer vision. In geometric computer vision one tries to extract geometric information about the world and the observer from a sequence of images. Estimation of scene structure and camera motion using only image data has been one of the central themes of research in photogrammetry, geodesy
