Boguslaw Cyganek

147 papers B 8C 9Misc 22Journal 30Unranked 75
YearRankTypeTitle / Venue / Authors
2025 — conf
A Study on Highly Efficient Compact Transformer Features for Histopathological Image Recognition.
ICAISC (2)
Didih Rizki Chandranegara, Przemyslaw Niedziela, Boguslaw Cyganek
2025 — conf
Hematoxylin and Eosin Stained Histopathological Image Enhancement Method.
ICINCO (2)
Boguslaw Cyganek
2025 — conf
Infrared Driver Monitoring Systems - A Review, New Opportunities and Trends.
HAIS (1)
Boguslaw Cyganek, Mateusz Knapik
2025 J jnl
Privacy-preserving people detection in the wild.
Pattern Anal. Appl.
Mateusz Knapik, Boguslaw Cyganek
2025 — conf
Vision Transformer Representations for Efficient Content-Based Image Retrieval.
ICAISC (2)
Stanislaw Lazewski, Boguslaw Cyganek
2024 J jnl
Deep Learning-Based Monocular Estimation of Distance and Height for Edge Devices.
Inf.
Jan Gasienica-Józkowy, Boguslaw Cyganek, Mateusz Knapik, Szymon Glogowski, Lukasz Przebinda
2024 J jnl
Highly compressed image representation for classification and content retrieval.
Integr. Comput. Aided Eng.
Stanislaw Lazewski, Boguslaw Cyganek
2023 C conf
Estimation of absolute distance and height of people based on monocular view and deep neural networks for edge devices operating in the visible and thermal spectra.
FedCSIS
Jan Gasienica-Józkowy, Boguslaw Cyganek, Mateusz Knapik, Szymon Glogowski, Lukasz Przebinda
2023 — conf
Real-Time Detection of Small Objects in Automotive Thermal Images with Modern Deep Neural Architectures.
FedCSIS (Communication Papers)
Tomasz Balon, Mateusz Knapik, Boguslaw Cyganek
2022 B conf
IEEE BigData Cup 2022 Report Privacy-preserving Matching of Encrypted Images.
IEEE Big Data
Marcin S. Szczuka, Andrzej Janusz, Boguslaw Cyganek, Jakub Grabek, Lukasz Przebinda, Andzelika Zalewska, Andrzej Bukala, Dominik Slezak
2022 C conf
Modern C++ in the era of new technologies and challenges - why and how to teach modern C++?
FedCSIS
Boguslaw Cyganek
2022 — conf
New Thermal Automotive Dataset for Object Detection.
FedCSIS (Position Papers)
Tomasz Balon, Mateusz Knapik, Boguslaw Cyganek
2022 — conf
Small Footprint Embedded Systems Paradigm Based on a Novel and Scalable Implementation of FORTH.
FedCSIS (Position Papers)
Boguslaw Cyganek
2021 J jnl
An LSTM Network for Apnea and Hypopnea Episodes Detection in Respiratory Signals.
Sensors
Jakub Drzazga, Boguslaw Cyganek
2021 J jnl
An ensemble deep learning method with optimized weights for drone-based water rescue and surveillance.
Integr. Comput. Aided Eng.
Jan Gasienica-Józkowy, Mateusz Knapik, Boguslaw Cyganek
2021 — conf
An impact of tensor-based data compression methods on deep neural network accuracy.
FedCSIS (Position Papers)
Jakub Grabek, Boguslaw Cyganek
2021 J jnl
DiagSet: a dataset for prostate cancer histopathological image classification.
CoRR
Michal Koziarski, Boguslaw Cyganek, Boguslaw Olborski, Zbigniew Antosz, Marcin Zydak, Bogdan Kwolek, Pawel Wasowicz, Andrzej Bukala, Jakub Swadzba, Piotr Sitkowski
2021 J jnl
Fast eyes detection in thermal images.
Multim. Tools Appl.
Mateusz Knapik, Boguslaw Cyganek
2020 J jnl
A Study on Pattern Recognition with the Histograms of Oriented Gradients in Distorted and Noisy Images.
J. Univers. Comput. Sci.
Andrzej Bukala, Michal Koziarski, Boguslaw Cyganek, Osman Nuri Koç, Alperen Kara
2020 — conf
Classification of Histopathological Images using Scale-Invariant Feature Transform.
VISIGRAPP (5: VISAPP)
Andrzej Bukala, Boguslaw Cyganek, Michal Koziarski, Bogdan Kwolek, Boguslaw Olborski, Zbigniew Antosz, Jakub Swadzba, Piotr Sitkowski
2020 B conf
Privacy Preserving Real-Time Video Stream Change Detection Based on the Orthogonal Tensor Decomposition Models.
RCIS
Boguslaw Cyganek
2020 — conf
The Choice of Feature Representation in Small-Scale MobileNet-Based Imbalanced Image Recognition.
VISIGRAPP (4: VISAPP)
Michal Koziarski, Boguslaw Cyganek, Kazimierz Wiatr
2019 — conf
Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural Network.
ICANN (Workshop)
Bogdan Kwolek, Michal Koziarski, Andrzej Bukala, Zbigniew Antosz, Boguslaw Olborski, Pawel Wasowicz, Jakub Swadzba, Boguslaw Cyganek
2019 — conf
Comparison of Sparse Image Descriptors for Eyes Detection in Thermal Images.
VISIGRAPP (5: VISAPP)
Mateusz Knapik, Boguslaw Cyganek
2019 J jnl
Data stream classification using active learned neural networks.
Neurocomputing
Pawel Ksieniewicz, Michal Wozniak, Boguslaw Cyganek, Andrzej Kasprzak, Krzysztof Walkowiak
2019 J jnl
Driver's fatigue recognition based on yawn detection in thermal images.
Neurocomputing
Mateusz Knapik, Boguslaw Cyganek
2019 — conf
Evaluation of Deep Learning Strategies for Underwater Object Search.
SA
Mateusz Knapik, Boguslaw Cyganek
2019 — conf
How orthogonal are we? A note on fast and accurate inner product computation in the floating-point arithmetic.
SA
Boguslaw Cyganek, Kazimierz Wiatr
2019 — conf
Overview of Tensor Methods for Multi-dimensional Signals Change Detection and Compression.
IP&C
Boguslaw Cyganek
2019 J jnl
Speckle Noise Filtering in Side-Scan Sonar Images Based on the Tucker Tensor Decomposition.
Sensors
Jakub Grabek, Boguslaw Cyganek
2019 — conf
The Impact of Distortions on the Image Recognition with Histograms of Oriented Gradients.
IP&C
Andrzej Bukala, Michal Koziarski, Boguslaw Cyganek, Osman Nuri Koç, Alperen Kara
2019 J jnl
Thumbnail Tensor - A Method for Multidimensional Data Streams Clustering with an Efficient Tensor Subspace Model in the Scale-Space.
Sensors
Boguslaw Cyganek
2018 Misc conf
Change Detection in Multidimensional Data Streams with Efficient Tensor Subspace Model.
HAIS
Boguslaw Cyganek
2018 — conf
Convolutional Neural Network-Based Classification of Histopathological Images Affected by Data Imbalance.
FFER/DLPR@ICPR
Michal Koziarski, Bogdan Kwolek, Boguslaw Cyganek
2018 — conf
Design of a Visual Front-End for Parallel Signal Processing on Underwater Search Drone.
ISPA/IUCC/BDCloud/SocialCom/SustainCom
Boguslaw Cyganek, Kazimierz Wiatr
2018 J jnl
Impact of Low Resolution on Image Recognition with Deep Neural Networks: An Experimental Study.
Int. J. Appl. Math. Comput. Sci.
Michal Koziarski, Boguslaw Cyganek
2018 — conf
Marine Snow Removal Using a Fully Convolutional 3D Neural Network Combined with an Adaptive Median Filter.
CVAUI/IWCF/MIPPSNA@ICPR
Michal Koziarski, Boguslaw Cyganek
2018 Misc conf
Modern Approaches to Multi-dimensional Visual Signals Analysis.
MISSI
Boguslaw Cyganek
2018 — conf
Parallel Algorithms for Multidimensional Data Streams Analysis with Tensor Subspace Models.
HPCS
Boguslaw Cyganek
2018 J jnl
Real-time marine snow noise removal from underwater video sequences.
J. Electronic Imaging
Boguslaw Cyganek, Karol Gongola
2017 — conf
A Tensor Framework for Data Stream Clustering and Compression.
ICIAP (1)
Boguslaw Cyganek, Michal Wozniak
2017 J jnl
A learning-based colour image segmentation with extended and compact structural tensor feature representation.
Pattern Anal. Appl.
Konrad Jackowski, Boguslaw Cyganek
2017 — conf
Efficient Real-Time Background Detection Based on the PCA Subspace Decomposition.
ICAISC (1)
Boguslaw Cyganek, Michal Wozniak
2017 — conf
Image and video processing with tensor methods.
SPA
Boguslaw Cyganek
2017 J jnl
Image recognition with deep neural networks in presence of noise - Dealing with and taking advantage of distortions.
Integr. Comput. Aided Eng.
Michal Koziarski, Boguslaw Cyganek
2017 — conf
On Efficient Computation of Tensor Subspace Kernels for Multi-dimensional Data.
VISIGRAPP (5: VISAPP)
Boguslaw Cyganek, Michal Wozniak
2017 — conf
Real-Time Image Content Assessment for Underwater Robot Manoeuvring Based on Structural Tensor Analysis.
CORES
Jakub Nawala, Boguslaw Cyganek
2017 — conf
Real-Time Vision Based System for Measurement of the Oxyacetylene Welding Parameters.
ICCSA (1)
Boguslaw Cyganek, Maciej Basiura
2017 J jnl
Selecting locally specialised classifiers for one-class classification ensembles.
Pattern Anal. Appl.
Bartosz Krawczyk, Boguslaw Cyganek
2017 B conf
Software framework for tensor stream processing on embedded vision platforms.
AVSS
Boguslaw Cyganek
2017 J jnl
Tensor-Based Shot Boundary Detection in Video Streams.
New Gener. Comput.
Boguslaw Cyganek, Michal Wozniak
2016 — conf
A First Attempt on Online Data Stream Classifier Using Context.
DMBD
Michal Wozniak, Boguslaw Cyganek
2016 J jnl
A Survey of Big Data Issues in Electronic Health Record Analysis.
Appl. Artif. Intell.
Boguslaw Cyganek, Manuel Graña, Bartosz Krawczyk, Andrzej Kasprzak, Piotr Porwik, Krzysztof Walkowiak, Michal Wozniak
2016 Misc conf
Active Learning Classification of Drifted Streaming Data.
ICCS
Michal Wozniak, Pawel Ksieniewicz, Boguslaw Cyganek, Andrzej Kasprzak, Krzysztof Walkowiak
2016 Misc conf
Active Learning Classifier for Streaming Data.
HAIS
Michal Wozniak, Boguslaw Cyganek, Andrzej Kasprzak, Pawel Ksieniewicz, Krzysztof Walkowiak
2016 — conf
Application of the local similarity filter for the suppression of multiplicative noise in medical ultrasound images.
Real-Time Image and Video Processing
Damian Kusnik, Bogdan Smolka, Boguslaw Cyganek
2016 Misc conf
Deep Neural Image Denoising.
ICCVG
Michal Koziarski, Boguslaw Cyganek
2016 Misc conf
Efficient Computation of the Tensor Chordal Kernels.
ICCS
Boguslaw Cyganek, Michal Wozniak
2016 — conf
Efficient Multidimensional Pattern Recognition in Kernel Tensor Subspaces.
DMBD
Boguslaw Cyganek, Michal Wozniak
2016 Misc conf
Ensemble of HOSVD Generated Tensor Subspace Classifiers with Optimal Tensor Flattening Directions.
HAIS
Boguslaw Cyganek, Michal Wozniak, Dariusz Jankowski
2016 — conf
Ensembles of Heterogeneous Concept Drift Detectors - Experimental Study.
CISIM
Michal Wozniak, Pawel Ksieniewicz, Boguslaw Cyganek, Krzysztof Walkowiak
2016 — conf
Examination of the Deep Neural Networks in Classification of Distorted Signals.
ICAISC (2)
Michal Koziarski, Boguslaw Cyganek
2016 J jnl
Intelligent Methods Applied to Health-Care Information Systems.
Appl. Artif. Intell.
Boguslaw Cyganek, Manuel Graña, Piotr Porwik, Michal Wozniak
2016 Misc conf
Learning Decision Trees from Data Streams with Concept Drift.
ICCS
Dariusz Jankowski, Konrad Jackowski, Boguslaw Cyganek
2016 — conf
On Robust Computation of Tensor Classifiers Based on the Higher-Order Singular Value Decomposition.
CSOC (2)
Boguslaw Cyganek, Michal Wozniak
2016 — conf
Real-time framework for tensor-based image enhancement for object classification.
Real-Time Image and Video Processing
Boguslaw Cyganek, Bogdan Smolka
2015 J jnl
An Improved Vehicle Logo Recognition Using a Classifier Ensemble Based on Pattern Tensor Representation and Decomposition.
New Gener. Comput.
Boguslaw Cyganek, Michal Wozniak
2015 — conf
Data Classification with Ensembles of One-Class Support Vector Machines and Sparse Nonnegative Matrix Factorization.
ACIIDS (1)
Boguslaw Cyganek, Bartosz Krawczyk
2015 J jnl
Hybrid ensemble of classifiers for logo and trademark symbols recognition.
Soft Comput.
Boguslaw Cyganek
2015 — conf
Impulsive noise suppression in color images based on the geodesic digital paths.
Real-Time Image and Video Processing
Bogdan Smolka, Boguslaw Cyganek
2015 J jnl
Multidimensional data classification with chordal distance based kernel and Support Vector Machines.
Eng. Appl. Artif. Intell.
Boguslaw Cyganek, Bartosz Krawczyk, Michal Wozniak
2015 — conf
Real-Time Eye Detection and Tracking in the Near-Infrared Video for Drivers' Drowsiness Control.
CORES
Boguslaw Cyganek
2015 — conf
Real-time object recognition in multidimensional images based on joined extended structural tensor and higher-order tensor decomposition methods.
Real-Time Image and Video Processing
Boguslaw Cyganek, Bogdan Smolka
2015 — conf
Selected aspects of electronic health record analysis from the big data perspective.
BIBM
Boguslaw Cyganek, Manuel Graña, Andrzej Kasprzak, Krzysztof Walkowiak, Michal Wozniak
2015 — conf
Tensor based representation and analysis of the electronic healthcare record data.
BIBM
Boguslaw Cyganek, Michal Wozniak
2014 Misc conf
Clustering-Based Ensemble of One-Class Classifiers for Hyperspectral Image Segmentation.
HAIS
Bartosz Krawczyk, Michal Wozniak, Boguslaw Cyganek
2014 J jnl
Clustering-based ensembles for one-class classification.
Inf. Sci.
Bartosz Krawczyk, Michal Wozniak, Boguslaw Cyganek
2014 J jnl
Hybrid computer vision system for drivers' eye recognition and fatigue monitoring.
Neurocomputing
Boguslaw Cyganek, Slawomir Gruszczynski
2014 — conf
Novel Parallel Algorithm for Object Recognition with the Ensemble of Classifiers based on the Higher-Order Singular Value Decomposition of Prototype Pattern Tensors.
VISAPP (2)
Boguslaw Cyganek, Katarzyna Socha
2014 — conf
Object Recognition with the Higher-Order Singular Value Decomposition of the Multi-dimensional Prototype Tensors.
CSOC
Boguslaw Cyganek
2014 — conf
The Influence of a Classifiers' Diversity on the Quality of Weighted Aging Ensemble.
ACIIDS (2)
Michal Wozniak, Piotr Cal, Boguslaw Cyganek
2014 — conf
Vehicle Logo Recognition with an Ensemble of Classifiers.
ACIIDS (2)
Boguslaw Cyganek, Michal Wozniak
2014 B conf
Weighted One-Class Classifier Ensemble Based on Fuzzy Feature Space Partitioning.
ICPR
Bartosz Krawczyk, Michal Wozniak, Boguslaw Cyganek
2013 C conf
A framework for image analysis and object recognition in industrial applications with the ensemble of classifiers.
ETFA
Boguslaw Cyganek, Michal Wozniak
2013 B conf
Eye recognition in near-infrared images for driver's drowsiness monitoring.
Intelligent Vehicles Symposium
Boguslaw Cyganek, Slawomir Gruszczynski
2013 J jnl
Parallelized Algorithms for Finding Similar Images and Object Recognition.
Comput. Sci.
Rafal Fraczek, Boguslaw Cyganek, Kazimierz Wiatr
2012 — conf
A framework for data representation, processing, and dimensionality reduction with the best-rank tensor decomposition.
ITI
Boguslaw Cyganek
2012 — conf
A multi-tool for ground-truth stereo correspondence, object outlining and points-of-interest selection.
VIGTA@AVI
Boguslaw Cyganek, Katarzyna Socha
2012 — conf
Embedding of the Extended Euclidean Distance into Pattern Recognition with Higher-Order Singular Value Decomposition of Prototype Tensors.
CISIM
Boguslaw Cyganek
2012 — conf
Ensemble of Tensor Classifiers Based on the Higher-Order Singular Value Decomposition.
HAIS (2)
Boguslaw Cyganek
2012 — ch.
Evaluation of Image Descriptors for Retrieval of Similar Images.
Intelligent Tools for Building a Scientific Information Platform
Rafal Fraczek, Boguslaw Cyganek
2012 — conf
INSTREET - Application for Urban Photograph Localization.
MCSS
Michal Grega, Seweryn Lach, Boguslaw Cyganek
2012 J jnl
One-Class Support Vector Ensembles for Image Segmentation and Classification.
J. Math. Imaging Vis.
Boguslaw Cyganek
2012 — conf
Pixel-Based Object Detection and Tracking with Ensemble of Support Vector Machines and Extended Structural Tensor.
ICCCI (1)
Boguslaw Cyganek, Michal Wozniak
2011 — conf
Adding parallelism to the hybrid image processing library in multi-threading and multi-core systems.
NESEA
Boguslaw Cyganek
2011 — conf
Image Contents Annotations with the Ensemble of One-class Support Vector Machines.
IJCCI (NCTA)
Boguslaw Cyganek, Kazimierz Wiatr
2011 — conf
Object Recognition with the HOSVD of the Multi-model Space-Variant Pattern Tensors.
CAIP (1)
Boguslaw Cyganek
2011 — conf
Visual System for Drivers' Eye Recognition.
HAIS (1)
Boguslaw Cyganek, Slawomir Gruszczynski
2010 — conf
An Analysis of the Road Signs Classification Based on the Higher-Order Singular Value Decomposition of the Deformable Pattern Tensors.
ACIVS (2)
Boguslaw Cyganek
2010 — conf
Image Segmentation with a Hybrid Ensemble of One-Class Support Vector Machines.
HAIS (1)
Boguslaw Cyganek
2010 — conf
Software Framework for Efficient Tensor Representation and Decompositions for Pattern Recognition in Computer Vision.
IP&C
Boguslaw Cyganek
2010 — conf
Traffic Scene Segmentation and Robust Filtering for Road Signs Recognition.
ICCVG (1)
Boguslaw Cyganek
2009 — conf
Framework for Object Tracking with Support Vector Machines, Structural Tensor and the Mean Shift Method.
ICONIP (1)
Boguslaw Cyganek
2009 — ch.
Recognition of Solid Objects in Images Invariant to Conformal Transformations.
Computer Recognition Systems 3
Boguslaw Cyganek
2008 B conf
A Real-Time Vision System for Traffic Signs Recognition Invariant to Translation, Rotation and Scale.
ACIVS
Boguslaw Cyganek
2008 B conf
An Algorithm for Computation of the Scene Geometry by the Log-Polar Area Matching Around Salient Points.
SOFSEM
Boguslaw Cyganek
2008 Misc conf
Architecture of an Integrated Software-Hardware System for Accelerated Image Processing.
ICCVG
Boguslaw Cyganek
2008 J jnl
Color Image Segmentation with Support Vector Machines: Applications to Road Signs Detection.
Int. J. Neural Syst.
Boguslaw Cyganek
2008 C conf
Intelligent System for Traffic Signs Recognition in Moving Vehicles.
IEA/AIE
Boguslaw Cyganek
2008 — conf
Neuro-fuzzy System for Road Signs Recognition.
ICANN (1)
Boguslaw Cyganek
2008 Misc conf
Real-Time Road Signs Tracking with the Fuzzy Continuously Adaptive Mean Shift Algorithm.
ICAISC
Boguslaw Cyganek
2008 — conf
Road-Signs Recognition System for Intelligent Vehicles.
RobVis
Boguslaw Cyganek
2007 — conf
Circular Road Signs Recognition with Affine Moment Invariants and the Probabilistic Neural Classifier.
ICANNGA (2)
Boguslaw Cyganek
2007 J jnl
Circular road signs recognition with soft classifiers.
Integr. Comput. Aided Eng.
Boguslaw Cyganek
2007 B conf
Real-Time Detection of the Triangular and Rectangular Shape Road Signs.
ACIVS
Boguslaw Cyganek
2007 — conf
Road Signs Recognition by the Scale-Space Template Matching in the Log-Polar Domain.
IbPRIA (1)
Boguslaw Cyganek
2007 — ch.
Soft System for Road Sign Detection.
Analysis and Design of Intelligent Systems using Soft Computing Techniques
Boguslaw Cyganek
2007 — conf
The Object-Oriented Protocol for Data Exchange and Control in Computational-Diverse Embedded Systems.
ICESS
Boguslaw Cyganek
2006 Misc conf
Committee Machine for Road-Signs Classification.
ICAISC
Boguslaw Cyganek
2006 — conf
Computational Framework for Family of Order Statistic Filters for Tensor Valued Data.
ICIAR (1)
Boguslaw Cyganek
2006 C conf
Matching of the Multi-channel Images with Improved Nonparametric Transformations and Weighted Binary Distance Measures.
IWCIA
Boguslaw Cyganek
2006 — conf
Recognition of Road Signs with Mixture of Neural Networks and Arbitration Modules.
ISNN (2)
Boguslaw Cyganek
2006 — conf
Rotation Invariant Recognition of Road Signs with Ensemble of 1-NN Neural Classifiers.
ICANN (2)
Boguslaw Cyganek
2005 — conf
Adaptive Window Growing Technique for Efficient Image Matching.
IbPRIA (1)
Boguslaw Cyganek
2005 — conf
Artificial Neural Receptive Field for Stereovision.
ICANN (1)
Boguslaw Cyganek
2005 Misc conf
Machine Efficient Adaptive Image Matching Based on the Nonparametric Transformations.
International Conference on Computational Science (1)
Boguslaw Cyganek
2005 C conf
Object Detection in Multi-channel and Multi-scale Images Based on the Structural Tensor.
CAIP
Boguslaw Cyganek
2004 C conf
Comparison of Nonparametric Transformations and Bit Vector Matching for Stereo Correlation.
IWCIA
Boguslaw Cyganek
2004 — conf
Control Messaging Channel for Distributed Computer Systems.
ICCSA (4)
Boguslaw Cyganek, Jan Borgosz
2004 Misc conf
Depth Recovery with an Area Based Version of the Stereo Matching Method with Scale-Space Tensor Representation of Local Neighborhoods.
International Conference on Computational Science
Boguslaw Cyganek
2004 Misc conf
Fuzzy Nonparametric Measures for Image Matching.
ICAISC
Boguslaw Cyganek, Jan Borgosz
2004 — conf
Gradient Based Dense Stereo Matching.
ICIAR (1)
Tomasz Twardowski, Boguslaw Cyganek, Jan Borgosz
2004 Misc conf
Neural Computation of the Fundamental Matrix.
ICAISC
Boguslaw Cyganek
2004 — conf
Object-Oriented Software Loading and Upgrading Techniques for Embedded and Distributed System.
ICESS
Boguslaw Cyganek
2004 Misc conf
Proposal of the Programming Rules for VHDL Designs.
International Conference on Computational Science
Jan Borgosz, Boguslaw Cyganek
2004 — conf
Pseudo-Random Binary Sequences Synchronizer Based on Neural Networks.
ICCSA (3)
Jan Borgosz, Boguslaw Cyganek
2004 Misc conf
Unsupervised Scale-Space Texture detector in Multi-Channel Images Based on the Structural Tensor.
ICCVG
Boguslaw Cyganek
2003 — conf
An Improved Variogram Analysis of the Maximum Expected Disparity in Stereo Images.
SCIA
Boguslaw Cyganek, Jan Borgosz
2003 Misc conf
An Object-Oriented Software Platform for Examination of Algorithms for Image Processing and Compression.
International Conference on Computational Science
Boguslaw Cyganek, Jan Borgosz
2003 Misc conf
Combined Detector of Locally-Oriented Structures and Corners in Images Based on a Scale-Space Tensor Representation of Local Neighborhoods of Pixels.
International Conference on Computational Science
Boguslaw Cyganek
2003 C conf
Computer Platform for Transformation of Visual Information into Sound Sensations for Vision Impaired Persons.
ICVS
Boguslaw Cyganek, Jan Borgosz
2003 Misc conf
Maximum Disparity Threshold Estimation for Stereo Imaging Systems via Variogram Analysis.
International Conference on Computational Science
Boguslaw Cyganek, Jan Borgosz
2003 Misc conf
Telecommunication Jitter Measurement in the Transmultipexer Systems Method Based on the Wavelet Pattern Correlation.
International Conference on Computational Science
Jan Borgosz, Boguslaw Cyganek
2003 J jnl
Wavelet Based Method for an Analysis of Jitter in Telecommunication Signals.
Int. J. Wavelets Multiresolution Inf. Process.
Jan Borgosz, Boguslaw Cyganek
2002 — conf
A new stereo method based on the detector of local structures.
EUSIPCO
Boguslaw Cyganek, Jan Borgosz
2001 C conf
A Comparative Study of Performance and Implementation of Some Area-Based Stereo Algorithms.
CAIP
Boguslaw Cyganek, Jan Borgosz
2001 — conf
A Proposal of Jitter Analysis Based on a Wavelet Transform.
WAA
Jan Borgosz, Boguslaw Cyganek