Sebastian Lieberknecht

Real-time visual tracking and live environment modeling are key problems of Augmented Reality (AR) applications. A multitude of methods tackling these fundamental problems have been proposed and evaluated in the literature in the past few decades, while in general no common datasets were used. This thesis presents a novel methodology for benchmarki...

This paper investigates means to benchmark methods for camera pose localization and tracking that in addition to a camera image make use of inertial sensor measurements. In particular the direction of the gravity has recently shown to provide useful information to aid vision-based approaches making them outperform vision-only methods. Obviously, it...

Compared to standard color cameras, RGB-D cameras are designed to additionally provide the depth of imaged pixels which in turn results in a dense colored D point cloud representing the environment from a certain viewpoint. We present a real-time tracking method that performs motion estimation of a consumer RGB-D camera with respect to an unknown e...

In this paper, we address the problem of simultaneous tracking and reconstruction of non-planar templates in real-time. Classical approaches to template tracking assume planarity and do not attempt to recover the shape of an object. Structure from motion approaches use feature points to recover camera pose and reconstruct the scene from those featu...

This chapter describes the evolution of a feature-based tracking system developed by metaio. One of the reasons that started the development of the system was the first tracking contest at the International Symposium of Mixed and Augmented Reality (ISMAR) in 2008, which was designed to fairly evaluate different tracking systems. We present the tool...

For natural interaction with augmented reality (AR) applications, good tracking technology is key. But unlike dense stereo, optical flow or multi-view stereo, template-based tracking which is most commonly used for AR applications lacks benchmark datasets allowing a fair comparison between state-of-the-art algorithms. Until now, in order to evaluat...

Unlike dense stereo, optical flow or multi-view stereo, template-based tracking lacks benchmark datasets allowing a fair comparison between state-of-the-art algorithms. Until now, in order to evaluate objectively and quantitatively the performance and the robustness of template-based tracking algorithms, mainly synthetically generated image sequenc...

Recent years have seen advances in many enabling augmented reality technologies. Furthermore, much research has been carried out on how augmented reality can be used to enhance existing applications. This paper describes our experiences with an AR-museum guide that combines some of the latest technologies. Amongst other technologies, markerless tra...