Andreas Wendel

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The paper presents contributions to the design of the Flock of Trackers (FoT). The FoT trackers estimate the pose of the tracked object by robustly combining displacement estimates from local trackers that cover the object. The first contribution, called the Cell FoT, allows local trackers to drift to points good to track. The Cell FoT was compared with the(More)
With the increasing availability of annotated multimedia data on the Internet, techniques are in demand that allow for a principled joint processing of different types of data. Multiview learning and multiview clustering attempt to identify latent components in different features spaces in a simultaneous manner. The resulting basis vectors or centroids(More)
Autonomous navigation for large Unmanned Aerial Vehicles (UAVs) is fairly straight-forward, as expensive sensors and monitoring devices can be employed. In contrast, obstacle avoidance remains a challenging task for Micro Aerial Vehicles (MAVs) which operate at low altitude in cluttered environments. Unlike large vehicles, MAVs can only carry very light(More)
In this paper a method for the automated identification of tree species from images of leaves, bark and needles is presented. The automated identification of leaves uses local features to avoid segmentation. For the automated identification of images of the bark this method is compared to a combination of GLCM and wavelet features. For classification a(More)
Since the first isolation in 2002, the metallo-β-lactamase GIM-1 has not been detected outside Germany. The data presented here, for 50 clinical blaGIM-1-positive isolates, including Pseudomonas spp. and Enterobacteriaceae (Enterobacter cloacae, Klebsiella oxytoca, Serratia marcescens, Escherichia coli, and Citrobacter freundii), collected between 2007 and(More)
The main contribution of this paper is to bridge the gap between passive monocular SLAM and autonomous robotic systems. While passive monocular SLAM strives to reconstruct the scene and determine the current camera pose for any given camera motion, not every camera motion is equally suited for these tasks. In this work we propose methods to evaluate the(More)
Humans can only just recognize images with a geometric resolution of 32× 32 pixels. However, this fact does not mean that it is also possible to assign predefined scene category labels like indoor, outdoor, kitchen or beach to such a tiny image, neither for humans nor for computers. The purpose of our work is to investigate the applicability of common scene(More)
The quality and completeness of 3D models obtained by Structure-from-Motion (SfM) heavily depend on the image acquisition process. If the user gets feedback about the reconstruction quality already during the acquisition, he can optimize this process. We propose an online SfM approach that allows the inspection of the current reconstruction result on site.(More)
A new method for text line formation for text localization and recognition is proposed. The method exhaustively enumerates short sequences of character regions in order to infer values of hidden text line parameters (such as text direction) and applies the parameters to efficiently limit the search space for longer sequences. The exhaustive enumeration of(More)
Highly accurate localization of a micro aerial vehicle (MAV) with respect to a scene is important for a wide range of applications, in particular surveillance and inspection. Most existing approaches to visual localization focus on indoor environments, while such tasks require outdoor navigation. Within this work, we introduce a novel algorithm for(More)