Baerbel Mertsching
Baerbel Mertsching
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Zitiert von
Zitiert von
Data-and model-driven gaze control for an active-vision system
G Backer, B Mertsching, M Bollmann
IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (12), 1415 …, 2001
Fast and robust generation of feature maps for region-based visual attention
MZ Aziz, B Mertsching
IEEE transactions on image processing 17 (5), 633-644, 2008
Illumination-robust optical flow using a local directional pattern
MA Mohamed, HA Rashwan, B Mertsching, MA García, D Puig
IEEE Transactions on Circuits and Systems for Video Technology 24 (9), 1499-1508, 2014
Closest Gap based (CG) reactive obstacle avoidance navigation for highly cluttered environments
M Mujahad, D Fischer, B Mertsching, H Jaddu
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
Illumination robust optical flow model based on histogram of oriented gradients
HA Rashwan, MA Mohamed, MA García, B Mertsching, D Puig
German Conference on Pattern Recognition, 354-363, 2013
Two selection stages provide efficient object-based attentional control for dynamic vision
G Backer, B Mertsching
Proceedings of the international workshop on attention and performance in …, 2003
Evaluation of visual attention models for robots
MZ Aziz, B Mertsching, M Salah, EN Shafik, R Stemmer
Fourth IEEE International Conference on Computer Vision Systems (ICVS'06), 20-20, 2006
Tangential Gap Flow (TGF) navigation: A new reactive obstacle avoidance approach for highly cluttered environments
M Mujahed, D Fischer, B Mertsching
Robotics and Autonomous Systems 84, 15-30, 2016
Integration of static and dynamic scene features guiding visual attention
M Bollmann, R Hoischen, B Mertsching
Mustererkennung 1997, 483-490, 1997
Region-based artificial visual attention in space and time
J Tünnermann, B Mertsching
Cognitive computation 6 (1), 125-143, 2014
Fast techniques for monocular visual odometry
MH Mirabdollah, B Mertsching
German Conference on Pattern Recognition, 297-307, 2015
Visual search in static and dynamic scenes using fine-grain top-down visual attention
MZ Aziz, B Mertsching
International Conference on Computer Vision Systems, 3-12, 2008
Admissible gap navigation: A new collision avoidance approach
M Mujahed, D Fischer, B Mertsching
Robotics and autonomous systems 103, 93-110, 2018
Stereo vision using cost-relaxation with 3D support regions
R Brockers, M Hund, B Mertsching
cortex 9 (11), 2005
The neural active vision system NAVIS
B Mertsching, M Bollmann, R Hoischen, S Schmalz
Handbook of computer vision and applications 3, 543-568, 1999
Survivor search with autonomous UGVs using multimodal overt attention
MZ Aziz, B Mertsching
2010 IEEE Safety Security and Rescue Robotics, 1-6, 2010
Color saliency and inhibition using static and dynamic scenes in region based visual attention
MZ Aziz, B Mertsching
International Workshop on Attention in Cognitive Systems, 234-250, 2007
Design and implementation of an accelerated gabor filter bank using parallel hardware
N Voß, B Mertsching
International Conference on Field Programmable Logic and Applications, 451-460, 2001
The construction kit metaphor for a software engineering design of an e-learning system
M Bungenstock, A Baudry, B Mertsching
EdMedia+ Innovate Learning, 216-217, 2002
Combining multiple views and temporal associations for 3-D object recognition
A Massad, B Mertsching, S Schmalz
European Conference on Computer Vision, 699-715, 1998
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