Computer Vision Systems Group

The research area of the Computer Vision Systems Group, created in 1987, is quantitative analysis of 2D and 3D images. Dr Ryszard Winiarczyk, a co-founder of the group, was in charge of it for well over a decade. Today, the group is led by dr Agnieszka Tomaka. Our research is published in many reviews and at conferences, but their main output is practical applications in such areas as medicine, forensic science or various branches of the industry. Most members of the group are also active as academic teachers, at the Silesian Institute of Technology (Faculty of Automatic Control, Electronics and Computer Science), as well as at the Universit

Group leader: 

Group members: 

2023

Wójcik B, Żarski M, Książek K, Miszczak J, Skibniewski MJ.  2023.  A deep learning method for hard-hat-wearing detection based on head center localization. Bulletin of the Polish Academy of Sciences Technical Sciences. 71 (EA)(6)

2022

2021

Wójcik B, Żarski M.  2021.  The measurements of surface defect area with an RGB-D camera for a BIM-backed bridge inspection. Bulletin of the Polish Academy of Sciences: Technical Sciences. 69(3)
Żarski M, Wójcik B, Książek K, Salamak M, Miszczak J.  2021.  Advances in applicable deep-learning based defect detection. 2nd Workshop on Engineering Optimization – WEO 2021.  (377.77 KB)
Wójcik B, Żarski M, Salamak M, Miszczak J.  2021.  Extracting crack characteristics from RGB-D images. 2nd Workshop on Engineering Optimization – WEO 2021.  (283.77 KB)

2020

Luchowski L, Tomaka A A, Pojda D, Tarnawski M, Skabek K, Kowalski P.  2020.  Skanery3D - trójwymiarowe obrazowanie powierzchni. Inżynieria Biomedyczna - podstawy i zastosowania; Tom 8 - Obrazowanie Biomedyczne.

2019

Pojda D, Tomaka A A, Luchowski L, Skabek K, Tarnawski M.  2019.  Applying computational geometry to designing an occlusal splint. Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications. CompIMAGE 2018. Lecture Notes in Computer Science. vol 10986
Tomaka A A, Luchowski L, Pojda D, Tarnawski M.  2019.  Dynamic Occlusion Surface Estimation from 4D Multimodal Data. Information Technology in Biomedicine. ITIB 2019. Advances in Intelligent Systems and Computing. vol 1011
Tomaka A A, Luchowski L, Pojda D, Skabek K, Tarnawski M.  2019.  Applying computational geometry to designing an occlusal splint. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (TCIV).
Tomaka A A, Luchowski L, Pojda D, Tarnawski M, Domino K.  2019.  The dynamics of the stomatognathic system from 4D multimodal data. In A.Gadomski (ed.): Multiscale Locomotion: Its Active-Matter Addressing Physical Principles.
Tarnawski M, Tomaka A A, Luchowski L.  2019.  Zastosowanie cyfrowych modeli gnatostatycznych. Opis przypadku / The application of digital gnathostatic models. Case report. In A. Machorowska-Pieniążek (ed.): Ortodoncja w praktyce. Teksty wybrane. Tom 1/2.

2018

Tomaka A A, Pojda D, Luchowski L, Tarnawski M.  2018.  Methods of Tooth Equator Estimation. Computer and Information Sciences.

2016

Tomaka A A, Tarnawski M, Pojda D.  2016.  Multimodal Image Registration for Mandible Motion Tracking. Information Technologies in Medicine: 5th International Conference, ITIB 2016 Kamień Śląski, Poland, June 20 - 22, 2016 Proceedings, Volume 1. :179–191.
Skabek K, Tomaka A A.  2016.  Modification of the ICP Algorithm for Detection of the Occlusal Area of Dental Arches. Information Technologies in Medicine: 5th International Conference, ITIB 2016 Kamień Śląski, Poland, June 20 - 22, 2016 Proceedings, Volume 1. :97–106. (488.43 KB)
Luchowski L, Tomaka A A, Skabek K, Tarnawski M, Kowalski P.  2016.  Forming an Occlusal Splint to Support the Therapy of Bruxism. Information Technologies in Medicine: 5th International Conference, ITIB 2016 Kamień Śląski, Poland, June 20 - 22, 2016 Proceedings, Volume 2. :267–273. (265.29 KB)
Skabek K, Pojda D, Winiarczyk R.  2016.  Progressive reduction of meshes with arbitrary selected points. Man-Machine Interactions 4. :525–533.

2015

Tomaka A A.  2015.  Multimodal Image Data Integration and Analysis for the Purposes of Orthodontic Diagnosis. Annual Report Polish Academy of Sciences. :59–61.

2014

Kowalski P, Pojda D.  2014.  Visualization of heterogenic images of 3D scene. Man-Machine Interacions 3. :291–297.
Luchowski L.  2014.  Mathematical description of movement vs practical interpretations or why some apparently pertinent questions have no meaningful answers. Lecture Notes of the ICB Seminar Novel Methodology of Both Diagnosis and Therapy of Bruxism. :29–33.
Tarnawski M, Tomaka A A.  2014.  Acquisition of mandible movement with a 3D scanner. Novel Methodology of Both Diagnosis and Therapy of Bruxism. :63–67.
Tomaka A A, Tarnawski M.  2014.  Integration of multimodal image data for the purposes of supporting the diagnosis of the stomatognatic system. Novel Methodology of Both Diagnosis and Therapy of Bruxism. :68–75.

2013

Luchowski L, Kowalski P.  2013.  Using RANSAC for 3D point cloud segmentation. Theoretical and Applied Informatics. 25:105–117.

2012

Luchowski L.  2012.  Adapting the RANSAC algorithm to detect 2-nd-degree manifolds in 2D and 3D.. Theoretical and Applied Informatics. 24:151–158.

2011

Skabek K, Pojda D.  2011.  Optimization of Mesh Representation for Progressive Transmission. Theoretical and Applied Informatics. 23:263–275.

2010

Tomaka A A, Luchowski L.  2010.  Purpose of cephalometric computations in craniofacial surgery. Bulletin of the Polish Academy of Sciences: Technical Sciences. 58:403–407.
Skabek K, Tomaka A A.  2010.  Applications of Computer Vision in Medicine and Protection of Monuments. Theoretical and Applied Informatics. 22:203–223.

2009

Tomaka A A, Pisulska-Otremba A..  2009.  Computer Vision Support for the Orthodontic Diagnosis. International Conference on Man-Machine Interactions in Memoriam Adam Mrózek.
Tomaka A A, Luchowski L, Skabek K.  2009.  From museum exhibits to 3D models. Man-Machine Interactions. :477–486.

2008

Tomaka A A, Trzeszkowska-Rotkegel S., Tarnawski M.  2008.  Correction of error in 3D reconstruction induced by CT gantry tilt. Journal of Medical Informatics & Technologies. 12:169–175.

2007

Luchowski L.  2007.  Stability of feature points defined by approximating quadric surfaces. Computer Recognition Systems: Proceedings of 5th International Conference on Computer Recognition Systems CORES'07.
Tomaka A A, Tarnawski M, Luchowski L, Liśniewska-Machorowska B..  2007.  Digital dental models and 3D patient photographs registration for orthodontic documentation and diagnostic purposes. Computer Recognition Systems: Proceedings of 5th International Conference on Computer Recognition Systems CORES'07.
Skabek K, Tomaka A A.  2007.  Automatic Mering of 3D atribute meshes.. Computer Recognition Systems 2, seria: Advances in Soft Computing 45, Part I. :645–652.

2006

Tomaka A A, Luchowski L.  2006.  The application of 3D Computer Vision In Orthodontics. Annual Report Polish Academy of Sciences. :58-59.
Tomaka A A, Skabek K.  2006.  Automatic Registration and Merging of 3D Surface Scans of Human Head. Medical Informatics & Technology. :75–81.
Sornek A., Tomaka A A.  2006.  Computer system for the analysis of facial features based on 3d surface scans.. Medical Informatics and Technology. :377–382.
Wieckowska K., Tomaka A A, Winiarczyk R.  2006.  System for facial tissue reconstruction based on dowel method. Medical Informatics & Technology. :383–387.
Pojda D, Ober J.  2006.  Model of the oculomotoric system for diagnosis of Squint. Proceedings of the XI International Conference Mecical Informatics & Technology MIT 2006. :193–198.

2005

Tomaka A A, Kowalski P.  2005.  Using active models for finding landmarks. Journal of Medical Informatics & Technologies. 9:225–232.
Tomaka A A, Luchowski L, Skabek K, Tarnawski M.  2005.  3D head surface scanning techniques for orthodontics.. Journal of Medical Informatics & Technologies. 9:123–130.
Chaari A., Luchowski L, Rousseau J..  2005.  Multiple-view stereo matching of points using epipolar constraints and relaxation. Archiwum Informatyki Teoretycznej i Stosowanej. 17:241–250.
Tomaka A A, Liśniewska-Machorowska B..  2005.  The application of 3D surfaces scanning in the facial features analysis. Journal of Medical Informatics & Technologies. 9:233–240.
Kowalski P, Tomaka A A, Liśniewska-Machorowska B..  2005.  Landmarks Identification Using Active Appearance Model. Archiwum Informatyki Teoretycznej i Stosowanej. 17:235–249.

2004

Pojda D, Ober J.  2004.  Model of the oculomotoric system for diagnosis of Squint. International Workshop on Biometric Technologies: Special Forum on Modeling and Simulation.

2003

Pojda D, Ober J.  2003.  Multilayer model of the oculomothoric system for computer based diagnosis of squint. VIII International Conference Medical Informatics & Technologies - MIT'2003.

2002

Augustyn A., Kowalski P, Luchowski L, Pojda D, Skabek K.  2002.  System for toolmark analysis in forensic laboratory. Archiwum Informatyki Teoretycznej i Stosowanej. 14:3–16.
Kowalski P, Luchowski L.  2002.  The active stereovision head: hardware and low-level software. Archiwum Informatyki Teoretycznej i Stosowanej. 14:219–233.
Luchowski L.  2002.  Viewpoint selection while exploring a compact polyhedral scene. Archiwum Informatyki Teoretycznej i Stosowanej. 14:297–305.
Luchowski L.  2002.  Viewpoint selection while exploring a compact polyhedral scene. International Conference on Computer Vision and Graphics.
Tomaka A A.  2002.  Detekcja i opis deformacji struktur na podstawie sekwencji obrazów cyfrowych. Działalność Naukowa, PAN, Wybrane zagadnienia.

2001

2000

Augustyn A., Kowalski P, Luchowski L, Pojda D, Skabek K.  2000.  Computer-assisted analysis of striated toolmarks and impressions. Second European Academy of Forensic Science Meeting.
Pojda D.  2000.  Zastosowanie systemu OBER2 w diagnostyce zeza. Journal of Medical Informatics and Technologies vol 5.

1999

Pojda D, Kowalski P.  1999.  Programowe platformy dla zagadnień wizji komputerowej. Zeszyty Naukowe Politechniki Śląskiej, Seria: Informatyka. 37:57–81.
Luchowski L, Kowalski P, Tomaka A A, Philipp M, Pojda D, Skabek K.  1999.  Mobile Stereovision Strategies. II Krajowa Konferencja ,,Metody i systemy komputerowe w badaniach naukowych i projektowaniu inżynierskim”. :531–536.
Skabek K, Tomaka A A.  1999.  Software Tool for Microscope Image Comparison (SOMIC). Archiwum Informatyki Teoretycznej i Stosowanej.
Tomaka A A, Mrózek A.  1999.  Komputerowe metody oceny deformacji twarzo-czaszki na podstawie sekwencji teleradiogramów. II Krajowa Konferencja ,,Metody i systemy komputerowe w badaniach naukowych i projektowaniu inżynierskim. :109–114.

1998

Pojda D, Kowalski P.  1998.  Kryteria pasowania punktów charaktery-stycznych w stereowizji. Zeszyty Naukowe Politechniki Śląskiej, Seria: Informatyka. 35:209–223.
Luchowski L, Philipp M.  1998.  Data Types and Operations for Striated Toolmark Identification. Archiwum Informatyki Teoretycznej i Stosowanej. 10:45–56.
Tomaka A A.  1998.  Wybrane aspekty implementacji analizy wzrostu twarzo-czaszki metodą tensorów. Techniki Informatyczne w Medycynie. :BP–21–31.
Philipp M, Tomaka A A.  1998.  Displacement and rotation estimation by cluster matching. Archiwum Informatyki Teoretycznej i Stosowanej.

1997

Tomaka A A, Ihnatowicz J..  1997.  Model procesu tworzenia obrazu rentgenowskiego. Zeszyty Naukowe Politechniki Śląskiej.

1995

Luchowski L.  1995.  A new method to threshold images of flat binary scenes under uneven lighting. Computer Analysis of Images and Patterns. :594–599.

Historia zmian

Data aktualizacji: 20/07/2022 - 14:54; autor zmian: Łukasz Zimny (lzimny@iitis.pl)

The research area of the Computer Vision Systems Group, created in 1987, is quantitative analysis of 2D and 3D images. Dr Ryszard Winiarczyk, a co-founder of the group, was in charge of it for well over a decade. Today, the group is led by dr Agnieszka Tomaka. Our research is published in many reviews and at conferences, but their main output is practical applications in such areas as medicine, forensic science or various branches of the industry. Most members of the group are also active as academic teachers, at the Silesian Institute of Technology (Faculty of Automatic Control, Electronics and Computer Science), as well as at the Universit