Supervisor: Beatriz Ferreira

Abstract: Matrix factorization has a plethora of applications in optimization, computer vision, machine learning (only to name a few). Several methods to factorize matrices have been proposed in the literature. This paper proposes an efficient matrix factorization method that is robust to noise and can handle missing data. This result is directly applied to the so-called Structure from Motion problem, which aims at estimating three-dimensional structures from 2D images.