Przemysław Skurowski
Przemysław Skurowski
assistant professor, computer engineer, politechnika ¶l±ska, (formerly: PJATK Bytom)
Verified email at - Homepage
Cited by
Cited by
Inertial motion capture costume design study
A Szczęsna, P Skurowski, E Lach, P Pruszowski, D Pęszor, M Paszkuta, ...
Sensors 17 (3), 612, 2017
Reference data set for accuracy evaluation of orientation estimation algorithms for inertial motion capture systems
A Szczęsna, P Skurowski, P Pruszowski, D Pęszor, M Paszkuta, ...
Computer Vision and Graphics: International Conference, ICCVG 2016, Warsaw …, 2016
Immersive virtual reality for assisting in inclusive architectural design
E Lach, I Benek, K Zalewski, P Skurowski, A Kocur, A Kotula, M Macura, ...
Man-Machine Interactions 6: 6th International Conference on Man-Machine …, 2020
Image quality assessment using phase spectrum correlation
P Skurowski, A Gruca
Computer Vision and Graphics: International Conference, ICCVG 2008 Warsaw …, 2009
Synchronization of Motion Sequences from Different Sources
P Skurowski, P Pruszowski, D Peszor
ICNAAM 2015 1738 (AIP Conf. Proc.), 2016
Knowledge and Computing. Post-Summit Results, Delegates’ Summit: Best Practice and Definitions of Knowledge and Computing, September 23, 2015
CP Rückemann, F Hülsmann, B Gersbeck-Schierholz, P Skurowski, ...
The Fifth Symposium on Advanced Computation and Information in Natural and …, 2015
On the noise complexity in an optical motion capture facility
P Skurowski, M Pawlyta
Sensors 19 (20), 4435, 2019
Saliency map based analysis for prediction of car driving difficulty in Google street view scenes
P Skurowski, M Paszkuta
AIP Conference Proceedings 1978 (1), 110003, 2018
Inertial motion capture costume
A Szczęsna, P Pruszowski, P Skurowski, E Lach, J Słupik, D Pęszor, ...
Procedia technology 27, 139-140, 2017
Evaluation of IP Transmission Jitter Estimators Using One-Way Active Measurement Protocol (OWAMP)
P Skurowski, R Wójcicki, Z Jerzak
Computer Networks, 153-162, 2010
Gap reconstruction in optical motion capture sequences using neural networks
P Skurowski, M Pawlyta
Sensors 21 (18), 6115, 2021
Implicit calibration using probable fixation targets
P Kasprowski, K Harȩżlak, P Skurowski
Sensors 19 (1), 216, 2019
Investigating human color harmony preferences using unsupervised machine learning
P Skurowski, M Kozielski
CGIV 2012 - Sixth European Conference on Colour in Graphics, Imaging,, 59-64, 2012
Performance of QR code detectors near Nyquist limits
P Skurowski, K Nurzyńska, M Pawlyta, KA Cyran
Sensors 22 (19), 7230, 2022
Evaluation of Keypoint Descriptors for Flight Simulator Cockpit Elements: WrightBroS Database
K Nurzynska, P Skurowski, M Pawlyta, K Cyran
Sensors 21 (22), 7687, 2021
A survey of selected machine learning methods for the segmentation of raw motion capture data into functional body mesh
M Pawlyta, P Skurowski
Information Technologies in Medicine: 5th International Conference, ITIB …, 2016
Detection and Classification of Artifact Distortions in Optical Motion Capture Sequences
P Skurowski, M Pawlyta
Sensors 22 (11), 4076, 2022
High dynamic range in x-ray imaging
P Skurowski, K Wicher
Information Technology in Biomedicine: Proceedings 6th International …, 2019
Evaluation of saliency maps in a hard case–images of camouflaged animals
P Skurowski, P Kasprowski
2018 IEEE International Conference on Image Processing, Applications and …, 2018
Functional body mesh representation, a simplified kinematic model, its inference and applications
P Skurowski, M Pawlyta
Applied Mathematics & Information Sciences 10 (1), 71, 2016
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