| The PUT face database A Kasinski, A Florek, A Schmidt Image Processing and Communications 13 (3-4), 59-64, 2008 | 268 | 2008 |
| The architecture and performance of the face and eyes detection system based on the Haar cascade classifiers A Kasinski, A Schmidt Pattern Analysis and Applications 13, 197-211, 2010 | 81 | 2010 |
| An evaluation of image feature detectors and descriptors for robot navigation A Schmidt, M Kraft, A Kasiński Computer Vision and Graphics: International Conference, ICCVG 2010, Warsaw …, 2010 | 72 | 2010 |
| Comparative assessment of point feature detectors in the context of robot navigation A Schmidt, M Kraft, M Fularz, Z Domagala Journal of Automation, Mobile Robotics & Intelligent Systems 7 (1), 2013 | 58 | 2013 |
| The performance of the haar cascade classifiers applied to the face and eyes detection A Schmidt, A Kasiński Computer Recognition Systems 2, 816-823, 2007 | 57 | 2007 |
| A high-performance FPGA-based image feature detector and matcher based on the FAST and BRIEF algorithms M Fularz, M Kraft, A Schmidt, A Kasiński International Journal of Advanced Robotic Systems 12 (10), 141, 2015 | 52 | 2015 |
| High-Speed Image Feature Detection Using FPGA Implementation of Fast Algorithm. M Kraft, A Schmidt, AJ Kasinski VISAPP (1) 8, 174-9, 2008 | 40 | 2008 |
| Toward evaluation of visual navigation algorithms on RGB-D data from the first-and second-generation Kinect M Kraft, M Nowicki, A Schmidt, M Fularz, P Skrzypczyński Machine Vision and Applications 28, 61-74, 2017 | 32 | 2017 |
| The comparison of point feature detectors and descriptors in the context of robot navigation A Schmidt, M Kraft, M Fularz, Z Domagala Journal of Automation, Mobile Robotics & Intelligent Systems 7 (1), 11-20, 2013 | 30 | 2013 |
| The visual SLAM system for a hexapod robot A Schmidt, A Kasiński International Conference on Computer Vision and Graphics, 260-267, 2010 | 28 | 2010 |
| An indoor RGB-D dataset for the evaluation of robot navigation algorithms A Schmidt, M Fularz, M Kraft, A Kasiński, M Nowicki Advanced Concepts for Intelligent Vision Systems: 15th International …, 2013 | 23 | 2013 |
| Calibration of the multi-camera registration system for visual navigation benchmarking A Schmidt, A Kasiński, M Kraft, M Fularz, Z Domagała International Journal of Advanced Robotic Systems 11 (6), 83, 2014 | 22 | 2014 |
| The architecture of the face and eyes detection system based on cascade classifiers A Kasinski, A Schmidt Computer Recognition Systems 2, 124-131, 2007 | 21 | 2007 |
| Extrinsic calibration of an eye-in-hand 2D LiDAR sensor in unstructured environments using ICP A Peters, A Schmidt, AC Knoll IEEE Robotics and Automation Letters 5 (2), 929-936, 2020 | 19 | 2020 |
| The architecture of an embedded smart camera for intelligent inspection and surveillance M Fularz, M Kraft, A Schmidt, A Kasiński Progress in Automation, Robotics and Measuring Techniques: Control and …, 2015 | 18 | 2015 |
| The impact of the image feature detector and descriptor choice on visual SLAM accuracy A Schmidt, M Kraft Image Processing & Communications Challenges 6, 203-210, 2015 | 18 | 2015 |
| Efficient RGB-D data processing for feature-based self-localization of mobile robots M Kraft, M Nowicki, R Penne, A Schmidt, P Skrzypczyński International Journal of Applied Mathematics and Computer Science 26 (1), 63--79, 2016 | 17 | 2016 |
| The classification of the terrain by a hexapod robot A Schmidt, K Walas Proceedings of the 8th International Conference on Computer Recognition …, 2013 | 14 | 2013 |
| FPGA implementation of the robust essential matrix estimation with RANSAC and the 8-point and the 5-point method M Fularz, M Kraft, A Schmidt, A Kasiński Facing the Multicore-Challenge II: Aspects of New Paradigms and Technologies …, 2012 | 14 | 2012 |
| Collection of visual data in climbing experiments for addressing the role of multi-modal exploration in motor learning efficiency A Schmidt, D Orth, L Seifert Advanced Concepts for Intelligent Vision Systems: 17th International …, 2016 | 9 | 2016 |
Marek KraftPoznań University of Technology, Institute of Robotics and Machine Intelligence在 put.poznan.pl 的电子邮件经过验证
