Data dimensionality reduction for face recognition K Georgy, P Forczmanski MGV 13, 99-121, 2004 | 39 | 2004 |
Comparative analysis of simple facial features extractors P Forczmański, G Kukharev Journal of Real-Time Image Processing 1, 239-255, 2007 | 37 | 2007 |
Embedded night-vision system for pedestrian detection A Nowosielski, K Małecki, P Forczmański, A Smoliński, K Krzywicki IEEE Sensors Journal 20 (16), 9293-9304, 2020 | 36 | 2020 |
Robust stamps detection and classification by means of general shape analysis P Forczmański, D Frejlichowski International Conference on Computer Vision and Graphics, 360-367, 2010 | 31 | 2010 |
Facial images dimensionality reduction and recognition by means of 2DKLT G Kukharev, P Forczmanski Machine Graphics & Vision International Journal 16 (3), 401-425, 2007 | 30 | 2007 |
“Smartmonitor”—An intelligent security system for the protection of individuals and small properties with the possibility of home automation D Frejlichowski, K Gościewska, P Forczmański, R Hofman Sensors 14 (6), 9922-9948, 2014 | 29 | 2014 |
General shape analysis applied to stamps retrieval from scanned documents D Frejlichowski, P Forczmański International Conference on Artificial Intelligence: Methodology, Systems …, 2010 | 28 | 2010 |
Surveillance video stream analysis using adaptive background model and object recognition P Forczmański, M Seweryn International Conference on Computer Vision and Graphics, 114-121, 2010 | 27 | 2010 |
Stamps detection and classification using simple features ensemble P Forczmański, A Markiewicz Mathematical Problems in Engineering 2015 (1), 367879, 2015 | 24 | 2015 |
Face recognition by means of two-dimensional direct linear discriminant analysis G Kukharev, P Forczmański Proceedings of 8th International Conference on Pattern Recognition and …, 2005 | 23 | 2005 |
Segmentation of scanned documents using deep-learning approach P Forczmański, A Smoliński, A Nowosielski, K Małecki Progress in Computer Recognition Systems 11, 141-152, 2020 | 22 | 2020 |
Multispectral data acquisition in the assessment of driver’s fatigue K Małecki, A Nowosielski, P Forczmański Smart Solutions in Today’s Transport: 17th International Conference on …, 2017 | 22 | 2017 |
Two-stage approach to extracting visual objects from paper documents P Forczmański, A Markiewicz Machine Vision and Applications 27 (8), 1243-1257, 2016 | 22 | 2016 |
Face recognition using two-dimensional CCA and PLS G Kukharev, A Tujaka, P Forczmański International Journal of Biometrics 3 (4), 300-321, 2011 | 20 | 2011 |
Automatic analysis of vehicle trajectory applied to visual surveillance A Nowosielski, D Frejlichowski, P Forczmański, K Gościewska, R Hofman Image Processing and Communications Challenges 7, 89-96, 2016 | 19 | 2016 |
Simple and robust facial portraits recognition under variable lighting conditions based on two-dimensional orthogonal transformations P Forczmański, G Kukharev, N Shchegoleva Image Analysis and Processing–ICIAP 2013: 17th International Conference …, 2013 | 19 | 2013 |
SmartMonitor: An approach to simple, intelligent and affordable visual surveillance system D Frejlichowski, P Forczmański, A Nowosielski, K Gościewska, R Hofman International Conference on Computer Vision and Graphics, 726-734, 2012 | 19 | 2012 |
An algorithm of face recognition under difficult lighting conditions P Forczmański, G Kukharev, N Shchegoleva Electrical Review 88 (10b), 201-204, 2012 | 19 | 2012 |
Recognition of occluded faces based on multi-subspace classification P Forczmański, P Łabędź IFIP International Conference on Computer Information Systems and Industrial …, 2013 | 18 | 2013 |
Selected aspects of traffic signs recognition: visual versus RFID approach P Forczmański, K Małecki Activities of Transport Telematics: 13th International Conference on …, 2013 | 18 | 2013 |