Datenbestand vom 13. Juni 2019

Warenkorb Datenschutzhinweis Dissertationsdruck Dissertationsverlag Institutsreihen     Preisrechner

WICHTIGER HINWEIS
DER VERLAG IST IN DER ZEIT VOM 12.06.2019 BIS 23.06.2019 AUSCHLIESSLICH PER EMAIL ERREICHBAR.

aktualisiert am 13. Juni 2019

ISBN 9783843920117

Euro 84,00 inkl. 7% MwSt


978-3-8439-2011-7, Reihe Informatik

Alain Pagani
Reality models for efficient registration in Augmented Reality

182 Seiten, Dissertation Technische Universität Kaiserslautern (2014), Hardcover, B5

Zusammenfassung / Abstract

The fundamental challenge of vision-based Augmented Reality is to make virtual objects and the real world coincide in a seamless way. In order to solve this registration problem, at least one real object present in the scene has to be detected, recognized and used by a corresponding algorithm to compute the position and orientation of the camera.

In this thesis, we take a closer look at the representations of reality that can be used in the context of Augmented Reality. We define a Reality Model as a set of compact information about an object of interest and an algorithm that uses this information for estimating the pose of the camera.

We first review existing Augmented Reality systems from the standpoint of these models and propose a classification based on the requirements of the pose estimation. We then present our novel approaches for different types of reality models, with applications in marker-based and texture-based pose estimation, 3D reconstruction, object detection and learning-based methods for local pose estimation.