Przemysław Głomb
Przemysław Głomb
Institute of Theoretical and Applied Informatics, Polish Academy of Sciences
Verified email at iitis.pl - Homepage
TitleCited byYear
Detection of interest points on 3D data: Extending the harris operator
P Głomb
Computer Recognition Systems 3, 103-111, 2009
392009
Choosing and modeling the hand gesture database for a natural user interface
P Głomb, M Romaszewski, S Opozda, A Sochan
International Gesture Workshop, 24-35, 2011
242011
Estimation of the number of states for gesture recognition with Hidden Markov Models based on the number of critical points in time sequence
M Cholewa, P Głomb
Pattern Recognition Letters 34 (5), 574-579, 2013
212013
Semi-supervised hyperspectral classification from a small number of training samples using a co-training approach
M Romaszewski, P Głomb, M Cholewa
ISPRS Journal of Photogrammetry and Remote Sensing 121, 60-76, 2016
162016
Automatic pigment identification from hyperspectral data
B Grabowski, W Masarczyk, P Głomb, A Mendys
Journal of Cultural Heritage 31, 1-12, 2018
122018
Unsupervised parameter selection for gesture recognition with vector quantization and hidden markov models
P Głomb, M Romaszewski, A Sochan, S Opozda
IFIP Conference on Human-Computer Interaction, 170-177, 2011
72011
Quantum hidden Markov models based on transition operation matrices
M Cholewa, P Gawron, P Głomb, D Kurzyk
Quantum Information Processing 16 (4), 101, 2017
62017
Eigengestures for natural human computer interface
P Gawron, P Głomb, JA Miszczak, Z Puchała
Man-Machine Interactions 2, 49-56, 2011
62011
3d mesh approximation using vector quantization
M Romaszewski, P Głomb
Computer Recognition Systems 3, 71-78, 2009
62009
Application of hyperspectral imaging and machine learning methods for the detection of gunshot residue patterns
P Głomb, M Romaszewski, M Cholewa, K Domino
Forensic science international 290, 227-237, 2018
42018
Gesture data modeling and classification based on critical points approximation
M Cholewa, P Głomb
Computer Recognition Systems 4, 307-315, 2011
42011
The effect of multiple training sequences on HMM classification of motion capture gesture data
M Romaszewski, P Głomb
Computer Recognition Systems 4, 365-373, 2011
42011
Natural human gestures classification using multisensor data
M Cholewa, P Głomb
2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 499-503, 2015
22015
Natural hand gestures for human identification in a Human-Computer Interface
M Romaszewski, P Głomb, P Gawron
2014 4th International Conference on Image Processing Theory, Tools and …, 2014
22014
Do we need complex models for gestures? a comparison of data representation and preprocessing methods for hand gesture recognition
M Blachnik, P Głomb
International Conference on Artificial Intelligence and Soft Computing, 477-485, 2012
22012
Deciding of HMM parameters based on number of critical points for gesture recognition from motion capture data
M Cholewa, P Głomb
arXiv preprint arXiv:1110.6287, 2011
22011
Image Coding with Contourlet/Wavelet Transforms and SPIHT Algorithm-An Experimental Study.
S Nowak, P Glomb
IMAGAPP, 37-42, 2009
22009
Context selection for efficient bit modeling of contourlet transform coefficients
P Głomb, Z Puchała, A Sochan
Theoretical and Applied Informatics 19 (2), 135-146, 2007
22007
Kształtowanie ruchu w ruterach pracujących w systemie Linux
K Grochla, P Głomb
Studia Informatica 23 (2A), 191-198, 2002
22002
Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images
P Głomb, K Domino, M Romaszewski, M Cholewa
arXiv preprint arXiv:1808.03513, 2018
12018
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Articles 1–20