Jakub Smolka

23 papers B 1C 5Misc 1Journal 9Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
Fuzzy C-Means Clustering for Motion Capture Tennis Time-Series Data.
IEEE Access
Maria Skublewska-Paszkowska, Pawel Powroznik, Pawel Karczmarek, Edyta Lukasik, Jakub Smolka
2023 — conf
Aggregation of Tennis Multivariate Time-Series Using the Choquet Integral and Its Generalizations.
FUZZ
Maria Skublewska-Paszkowska, Pawel Karczmarek, Pawel Powroznik, Edyta Lukasik, Jakub Smolka, Michal Dolecki
2022 B conf
On the Detection of Anomalies with the Use of Choquet Integral and Their Interpretability in Motion Capture Data.
FUZZ-IEEE
Michal Dolecki, Pawel Karczmarek, Lukasz Galka, Magdalena Zawadka, Jakub Smolka, Maria Skublewska-Paszkowska, Edyta Lukasik, Pawel Powroznik, Piotr Gawda, Dariusz Czerwinski
2019 — conf
Recognition of Tennis Shots Using Convolutional Neural Networks Based on Three-Dimensional Data.
ICMMI
Maria Skublewska-Paszkowska, Edyta Lukasik, Bartlomiej Szydlowski, Jakub Smolka, Pawel Powroznik
2018 C conf
Motion Capture Technology as a Tool for Quantitative Assessment of the Rehabilitation Progress of Gait by Using Soft Orthoses.
HSI
Maria Skublewska-Paszkowska, Edyta Lukasik, Marek Milosz, Jakub Smolka, Jaroslaw Napiorkowski, Jolanta Taczala, Agnieszka Zdzienicka-Chyla, Anna Kosiecz
2018 C conf
New Automatic Algorithms for Computing Characteristics of Three Dimensional Pelvic and Lower Limb Motions in Race Walking.
HSI
Maria Skublewska-Paszkowska, Edyta Lukasik, Jakub Smolka, Monika Nawrocka
2017 — conf
Algorithm Defining the Correctness of an Ergometer Rower's Technique Using Three-Dimensional Data.
ICIST
Edyta Lukasik, Jakub Smolka, Jerzy Montusiewicz
2017 C conf
Enhancement of IT student projects using 3D technology.
EDUCON
Maria Skublewska-Paszkowska, Jakub Smolka
2017 — conf
Mobile Application Using Embedded Sensors as a Three Dimensional Motion Registration Method.
ICMMI
Maria Skublewska-Paszkowska, Jakub Smolka, Michal Liwiak, Adrian Mroz
2016 C conf
A method for collision detection using mobile devices.
HSI
Jakub Smolka, Maria Skublewska-Paszkowska
2016 — conf
Analysis of Selected Elements of a Rower's Posture Using Motion Capture - a Case Study.
ICIST
Jerzy Montusiewicz, Jakub Smolka, Maria Skublewska-Paszkowska, Edyta Lukasik, Katarzyna R. Baran, Izabela Pszczola-Pasierbiewicz
2016 C conf
The rigid body gap filling algorithm.
HSI
Jakub Smolka, Edyta Lukasik
2013 J jnl
Semi-automatic watershed merging method.
Ann. UMCS Informatica
Jakub Smolka, Maria Skublewska-Paszkowska
2011 — conf
TOPQS Color Local Visual Distortion Maps.
IP&C
Maria Skublewska-Paszkowska, Jakub Smolka
2008 — ch.
Comparison of Hierarchical Cluster Analysis Methods Applied to Image Segmentation by Watershed Merging.
Computer Recognition Systems 2
Jakub Smolka, Maria Skublewska-Paszkowska
2008 J jnl
Implementation of perceptual measure Picture Quality Scale with neural network to evaluate distortions in compressed images.
Ann. UMCS Informatica
Maria Skublewska-Paszkowska, Jakub Smolka
2008 Misc conf
The Influence of Picture Quality Scale Measure on Choosing the Wavelet Transform during Image Compression.
ICCVG
Maria Skublewska-Paszkowska, Jakub Smolka
2008 J jnl
Watershed merging method for color images.
Ann. UMCS Informatica
Jakub Smolka, Maria Skublewska-Paszkowska
2007 J jnl
Hierarchical cluster analysis methods applied to image segmentation by watershed merging.
Ann. UMCS Informatica
Jakub Smolka
2006 J jnl
Multilevel near optimal thresholding applied to watershed grouping.
Ann. UMCS Informatica
Jakub Smolka
2005 J jnl
Watershed based region growing algorithm.
Ann. UMCS Informatica
Jakub Smolka
2004 J jnl
Multi-class 3D region growing algorithm.
Ann. UMCS Informatica
Jakub Smolka
2003 J jnl
Multi-class region growing algorithm.
Ann. UMCS Informatica
Jakub Smolka