Explaining Conspiracy Theories in Modern Arab Middle Eastern Political Discourse: Some Problems and Limitations of the Literature

This paper presents a new framework for solving geometric structure and motion problems based on L8-norm. Instead of using the common sum-of-squares cost-function, that is, the L2-norm, the model-fitting errors are measured using the L8 -norm. Unlike traditional methods based on L2, our framework allows for efficient computation of global estimates. We show that a variety of structure and motion problems, for example, triangulation, camera resectioning and homography estimation can be recast as quasi-convex optimization problems within this framework. These problems can be efficiently solved using Second-Order Cone Programming (SOCP) which is a standard technique in convex optimization. The methods have been implemented in Matlab and the resulting toolbox has been made publicly available. The algorithms have been validated on real data in different settings on problems with small and large dimensions and with excellent performance. � 2008 IEEE.