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 | 163 | 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 | 153 | 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 | 62 | 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 | 42 | 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 | 38 | 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 | 36 | 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 | 34 | 2006 |
Integration of static and dynamic scene features guiding visual attention M Bollmann, R Hoischen, B Mertsching Mustererkennung 1997, 483-490, 1997 | 29 | 1997 |
Region-based artificial visual attention in space and time J Tünnermann, B Mertsching Cognitive computation 6 (1), 125-143, 2014 | 25 | 2014 |
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 | 25 | 2008 |
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 | 23 | 2016 |
Stereo vision using cost-relaxation with 3D support regions R Brockers, M Hund, B Mertsching cortex 9 (11), 2005 | 22 | 2005 |
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 | 21 | 2007 |
Admissible gap navigation: A new collision avoidance approach M Mujahed, D Fischer, B Mertsching Robotics and Autonomous Systems 103, 93-110, 2018 | 20 | 2018 |
Fast techniques for monocular visual odometry MH Mirabdollah, B Mertsching German Conference on Pattern Recognition, 297-307, 2015 | 20 | 2015 |
Survivor search with autonomous UGVs using multimodal overt attention MZ Aziz, B Mertsching 2010 IEEE Safety Security and Rescue Robotics, 1-6, 2010 | 20 | 2010 |
The neural active vision system NAVIS B Mertsching, M Bollmann, R Hoischen, S Schmalz Handbook of computer vision and applications 3, 543-568, 1999 | 20 | 1999 |
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 | 18 | 1998 |
TV-L1 optical flow estimation with image details recovering based on modified census transform MA Mohamed, B Mertsching International Symposium on Visual Computing, 482-491, 2012 | 17 | 2012 |
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 | 17 | 2002 |