COGNITO – The graphics and content delivery module

The poster presents the two main components for the graphics and content delivery module of COGNITO system. One Augmented reality player is presented as well as one editor of multimedia content to be used in the player (augmented information)

Augmented Lagrangian Functions for Cone Constrained Optimization: the Existence of Global Saddle Points and Exact Penalty Property

In the article we present a general theory of augmented Lagrangian functions for cone constrained optimization problems that allows one to study almost all known augmented Lagrangians for cone constrained programs within a unified framework. We develop a new general method for proving the existence of global saddle points of augmented Lagrangian functions, called the localization principle. The localization principle unifies, generalizes and sharpens most of the known results on existence of global saddle points, and, in essence, reduces the problem of the existence of saddle points to a local analysis of optimality conditions. With the use of the localization principle we obtain first necessary and sufficient conditions for the existence of a global saddle point of an augmented Lagrangian for cone constrained minimax problems via both second and first order optimality conditions. In the second part of the paper, we present a general approach to the construction of globally exact augmented Lagrangian functions. The general approach developed in this paper allowed us not only to sharpen most of the existing results on globally exact augmented Lagrangians, but also to construct first globally exact augmented Lagrangian functions for equality constrained optimization problems, for nonlinear second order cone programs and for nonlinear semidefinite programs. These globally exact augmented Lagrangians can be utilized in order to design new superlinearly (or even quadratically) convergent optimization methods for cone constrained optimization problems.Comment: This is a preprint of an article published by Springer in Journal of Global Optimization (2018). The final authenticated version is available online at: http://dx.doi.org/10.1007/s10898-017-0603-

The Legal Approach to Crime and Correction

This report documents the research and experiments on evaluating the possibilities of using OpenCV for developing a markerless augmented reality applications using the structure from motion algorithm. It gives a background on what augmented reality is and how it can be used and also theory about camera calibration and the structure from motion algorithm is presented. Based on the theory the algorithm was implemented using OpenCV and evaluated regarding its performance and possibilities when creating markerless augmented reality applications

Augmented Biracks and their Homology

We introduce augmented biracks and define a (co)homology theory associated to augmented biracks. The new homology theory extends the previously studied Yang-Baxter homology with a combinatorial formulation for the boundary map and specializes to $N$-reduced rack homology when the birack is a rack. We introduce augmented birack 2-cocycle invariants of classical and virtual knots and links and provide examples.Comment: 16 page

Free augmented LD-systems

Define an augmented LD-system, or ALD-system, to be a set equipped with two binary operations, one satisfying the left self-distributivity law $x * (y * z) = (x * y) * (x * z)$ and the other satisfying the mixed laws $(x o y) * z = x * (y * z)$ and $x * (y o z) = (x * y) o (x * z)$. We solve the word problem of the ALD laws, and prove that every element in the parenthesized braid group $B\_\bullet$ of [Bri1, Dhb, Dhe] generates a free ALD-system of rank 1, thus getting a concrete realization of the latter structure