Reinhard Klette

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Bodo RosenhahnL3S Research Center / Leibniz Universität HannoverVerified email at tnt.uni-hannover.de
Mahdi RezaeiAssistant Professor, University of LeedsVerified email at leeds.ac.uk
B.S. SHINHanyang UniversityVerified email at hanyang.ac.kr
Sandino MoralesAescapeVerified email at aescape.co
Andreas Koschanretired Professor of Practice, EECS, University of TennesseeVerified email at utk.edu
Jovisa ZunicMathematical Institute - Serbian Academy of SciencesVerified email at mi.sanu.ac.rs
Ryszard KozeraWarsaw University of Life Sciences, Faculty of Applied Informatics and MathematicsVerified email at sggw.pl
Wei Qi YanDirector of Institute of Robotics & Vision, Auckland University of TechnologyVerified email at aut.ac.nz
Chia-Yen CHENUniversity of AucklandVerified email at nuk.edu.tw
Simon HermannThe University of AucklandVerified email at aucklanduni.ac.nz
zezhong xuChangzhou Institute of TechnologyVerified email at czu.cn
Junli TaoVirtual Retail GmbHVerified email at virtual-retail.com
Mohsen FayyazMicrosoftVerified email at microsoft.com
Valentin BrimkovVerified email at buffalostate.edu
Andreas WedelSW Engineering LeadVerified email at fb.com
Mohammad NorouzifardUniversity of AucklandVerified email at auckland.ac.nz
Anko BoernerAbteilungsleiter, Deutsches Zentrum für Luft- und RaumfahrtVerified email at dlr.de
Waqar KhanWelTecVerified email at aucklanduni.ac.nz
Yanyan XuShanghai Jiao Tong University | UC BerkeleyVerified email at mit.edu
James RussellUniversity of AucklandVerified email at auckland.ac.nz

Reinhard Klette

Auckland University of Technology

Verified email at auckland.ac.nz

Computer Vision Autonomous Vehicles Stereo Vision Digital Geometry ADAS


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Digital geometry: Geometric methods for digital picture analysis R Klette, A Rosenfeld Morgan Kaufmann, 2004	998	2004
Three-dimensional data from images R Klette, A Koschan, K Schluns Springer-Verlag Singapore Pte. Ltd., Singapore, 1998	647	1998
Concise computer vision R Klette Springer, 2014	475	2014
Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes M Sabokrou, M Fayyaz, M Fathy, Z Moayed, R Klette Computer Vision and Image Understanding 172, 88-97, 2018	420	2018
Deep-cascade: Cascading 3d deep neural networks for fast anomaly detection and localization in crowded scenes M Sabokrou, M Fayyaz, M Fathy, R Klette IEEE Transactions on Image Processing 26 (4), 1992-2004, 2017	327	2017
Handbook of image processing operators R Klette, P Zamperoni John Wiley & Sons, Inc., 1996	314	1996
Real-time anomaly detection and localization in crowded scenes M Sabokrou, M Fathy, M Hoseini, R Klette Proceedings of the IEEE conference on computer vision and pattern …, 2015	206	2015
Digital straightness—a review R Klette, A Rosenfeld Discrete applied mathematics 139 (1-3), 197-230, 2004	186	2004
Differences between stereo and motion behaviour on synthetic and real-world stereo sequences T Vaudrey, C Rabe, R Klette, J Milburn 2008 23rd International Conference Image and Vision Computing New Zealand, 1-6, 2008	153	2008
Robust vehicle detection and distance estimation under challenging lighting conditions M Rezaei, M Terauchi, R Klette IEEE transactions on intelligent transportation systems 16 (5), 2723-2743, 2015	146	2015
Image stitching—comparisons and new techniques CY Chen, R Klette Computer Analysis of Images and Patterns: 8th International Conference, CAIP …, 1999	140	1999
Research in the theory of inductive inference by GDR mathematicians—a survey R Klette, R Wiehagen Information Sciences 22 (2), 149-169, 1980	137	1980
Lane detection and tracking using a new lane model and distance transform J Ruyi, K Reinhard, V Tobi, W Shigang Machine vision and applications 22, 721-737, 2011	127	2011
Computer vision: Räumliche information aus digitalen bildern R Klette, A Koschan, K Schlüns Springer-Verlag, 2013	125	2013
A comparative evaluation of length estimators of digital curves D Coeurjolly, R Klette IEEE transactions on pattern analysis and machine intelligence 26 (2), 252-258, 2004	125	2004
Moving object segmentation using optical flow and depth information J Klappstein, T Vaudrey, C Rabe, A Wedel, R Klette Advances in Image and Video Technology: Third Pacific Rim Symposium, PSIVT …, 2009	124	2009
Iterative semi-global matching for robust driver assistance systems S Hermann, R Klette Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013	114	2013
Height data from gradient maps R Klette, K Schluens Machine Vision Applications, Architectures, and Systems Integration V 2908 …, 1996	107	1996
Robust background subtraction and maintenance Q Zang, R Klette Proceedings of the 17th International Conference on Pattern Recognition …, 2004	103	2004
Look at the driver, look at the road: No distraction! no accident! M Rezaei, R Klette Proceedings of the IEEE conference on computer vision and pattern …, 2014	102	2014

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