• Optimisation, Computer vision, Pattern recognition
  • Image quality assessment
  • Local feature descriptors
  • Sign language recognition, Vision–based human–computer interfaces

  • Oszust, M.: No-reference image quality assessment with local features and high-order derivatives, Journal of Visual Communication and Image Representation, vol. 56, pp. 15-26, 2018, Link DOI (IF 1.836)
  • Oszust, M.: Optimized Filtering With Binary Descriptor for Blind Image Quality Assessment, IEEE Access, vol. 6, pp. 42917-42929, 2018, PDF, Link DOI (IF 3.557)
  • Oszust, M., Kapuscinski T., Warchol D., Wysocki M., Rogalski T., Pieniazek J., Kopecki G. H., Ciecinski P., Rzucidlo P.: A vision-based method for supporting autonomous aircraft landing, Aircraft Engineering and Aerospace Technology, vol. 90, no. 6, pp. 973-982, 2018, Link DOI (IF 0.753)

  • Oszust, M.: No-Reference Image Quality Assessment Using Image Statistics and Robust Feature Descriptors, IEEE Signal Processing Letters, vol. 24, issue 11, pp. 1656 - 1660, 2017, Link DOI (IF 2.528)
  • Oszust, M., Padjasek, J., Kasprzyk, P.: An approach to vision-based localisation with binary features for partially sighted people, Signal, Image and Video Processing, vol. 11, no. 7, pp. 1261–1269, 2017, Students co-authored this paper. PDF, Link DOI (IF 1.102)
  • Oszust, M.: A Binary Representation for Real-Valued, Local Feature Descriptors, Journal of Automation, Mobile Robotics & Intelligent Systems, JAMRIS, vol. 11, no. 1, pp. 3-9, 2017, PDF, Link DOI
  • Oszust, M.: Image quality assessment with lasso regression and pairwise score differences, Multimedia Tools and Applications, vol. 76, no. 11, pp. 13255–1327, 2017, PDF, Link DOI (IF 1.541), Software

  • Oszust, M.: BDSB: Binary Descriptor with Shared Pixel Blocks, Journal of Visual Communication and Image Representation, vol. 41, pp. 154-165, 2016, Link DOI (IF 1.530)
  • Oszust, M.: A Regression-Based Family of Measures for Full-Reference Image Quality Assessment, Measurement Science Review, vol. 16, issue 6, pp. 316–325, 2016, PDF, Link DOI (IF 0.969)
  • Oszust, M.: Full-Reference Image Quality Assessment with Linear Combination of Genetically Selected Quality Measures, PLoS ONE, vol. 11, no. 6, pp. 1-17, 2016, PDF, Link DOI (IF 3.057)
  • Oszust, M.: An optimisation approach to the design of a fast, compact and distinctive binary descriptor, Signal, Image and Video Processing, vol. 10, pp. 1401-1408, 2016, PDF, Link DOI (IF 1.430)
  • Oszust, M.: Towards binary robust fast features using the comparison of pixel blocks, Measurement Science and Technology, vol. 27, no. 3, pages 035402, 2016, Link DOI (IF 1.433)
  • Ribó A., Warchoł D., Oszust, M.: An Approach to Gesture Recognition with Skeletal Data Using Dynamic Time Warping and Nearest Neighbour Classifier, International Journal of Intelligent Systems and Applications, vol. 8, no. 6, pp. 1-8, 2016, Student co-author (Ribó A., IAESTE programme), PDF, Link DOI
  • Ziomek A., Oszust, M.: Evaluation of Interest Point Detectors in Presence of Noise, International Journal of Intelligent Systems and Applications, vol. 8, no. 3, pp. 26-33, 2016, Student co-author, PDF, Link DOI
  • Oszust, M.: Decision Fusion for Image Quality Assessment using an Optimization Approach, IEEE Signal Processing Letters, vol. 23, issue 1, pp. 65-69, 2016, Link DOI (IF 1.751)

  • Oszust M., Kostka M.: Evaluation of Subspace Clustering Using Internal Validity Measures, Advances in Electrical and Computer Engineering, vol. 15, no. 3, pp. 141-146, 2015, Student co-author, PDF, Link DOI (IF 0.529)
  • Kapuściński T., Oszust M., Wysocki M., Warchoł D.: Recognition of Hand Gestures Observed by Depth Cameras, International Journal of Advanced Robotic Systems, vol. 12, no. 36, 2015, PDF, Link (IF 0.526)

  • Kapuściński T., Oszust M., Wysocki M.: Recognition of Dynamic Hand Gesture Observed by Depth Cameras, Workshop on Real-Time Gesture Recognition for Human Robot Interaction, IAS-13 13th Intl. Conf. on Intelligent Autonomous Systems, ISBN 978-88-95872-06-3, pp. 354-359, Padua, Italy, 2014
  • Oszust. M., Wysocki M.: Some Approaches to Recognition of Sign Language Dynamic Expressions with Kinect, Human-Computer Systems Interaction: Backgrounds and Applications 3, Hippe Z S., Kulikowski J. L., Mroczek T., Wtorek J., (Eds.), Advances in Intelligent Systems and Computing, vol. 300, pp. 75-86, Springer International Publishing, 2014, Link DOI
  • Oszust M., Wysocki M.: Recognition of signed expressions using visually-oriented subunits obtained by an immune-based optimisation. Int. J. of Data Mining, Modelling and Management, vol.6, no.2, pp. 202-216, 2014, Link DOI
  • Oszust M., Wysocki M.: Recognition of Signed Expressions Using Symbolic Aggregate Approximation. Artificial Intelligence and Soft Computing. Rutkowski L., Korytkowski M., Scherer R., Tadeusiewicz R., A. Zadeh L., M. Zurada J.,(Eds.), ICAISC 2014, vol. 8467, Lecture Notes in Computer Science, pp. 745-756. Springer International Publishing, 2014, Link DOI
  • Kapuściński T., Oszust. M., Wysocki M.: Hand Gesture Recognition using Time-of-Flight Camera and Viewpoint Feature Histogram, DPS 2013, Lecture Notes in Computer Science, vol. 230, pp. 403-414, Springer Berlin Heidelberg, 2014, Link DOI

  • Kapuściński T., Oszust. M., Wysocki M.: Recognition of Signed Dynamic Expressions Observed by ToF Camera, IEEE Conference on Signal Processing: Algorithms, Architectures, Arrangements, and Applications SPA 2013, pp. 291-296, IEEE Xplore 2013.
  • Oszust M., Wysocki M.: Recognition of Signed Expressions Observed by Kinect Sensor, 10-th IEEE International Conference on Advanced Video and Signal-Based Surveillance AVSS 2013, IEEE Xplore, pp. 220-225, 2013, Link
  • Oszust M.: Zastosowanie grupowania szeregów czasowych do rozpoznawania wypowiedzi w języku migowym na podstawie sekwencji wizyjnych (PhD thesis: Using clustering of time series for video-based recognition of signed expressions). Promotor w przewodzie doktorskim: dr hab. inż. Marian Wysocki, prof. n. PRz – Politechnika Rzeszowska. Recenzenci rozprawy doktorskiej: prof. dr hab. Stan Matwin – Dalhousie University, Halifax, Canada i dr hab. inż. Bogusław Cyganek – Akademia Górniczo-Hutnicza w Krakowie, lipiec 2013, Link
  • Oszust M., Wysocki M.: Clustering and Classification of Time Series Representing Sign Language Words. Artificial Intelligence and Soft Computing. Rutkowski L., Korytkowski M., Scherer R., Tadeusiewicz R., A. Zadeh L., M. Zurada J.,(Eds.), ICAISC 2013, vol. 7895, Lecture Notes in Computer Science, pp. 218-229, Springer Berlin Heidelberg, 2013, Link DOI
  • Oszust M., Wysocki M.: Polish Sign Language Words Recognition with Kinect, 6th International Conference on Human System Interaction (HSI'2013), (best paper award in area of human machine interaction), pp. 219-226 IEEE Xplore, ISBN 978-1-4673-5636-7, Sopot, Poland, 2013, Link

  • Oszust M., Wysocki M.: Modelling and Recognition of Signed Expressions Using Subunits Obtained by Data–Driven Approach. Ramsay A., Agre G., (Eds.), AIMSA, vol. 7557, Lecture Notes in Computer Science, pp. 315–324. Springer, 2012, Link pdf
  • Marnik J., Samolej S., Kapuściński T., Oszust M. and Wysocki M.: Using Computer Graphics, Vision, and Gesture Recognition Tools for Building Interactive Systems Supporting Therapy of Children, [in:] Hippe Z. S.; Kulikowski J.; Mroczek T.: Human – Computer Systems Interaction: Backgrounds and Applications 2. Advances in Intelligent and Soft Computing, Part 1, Vol. 98, pp. 539-553, ISBN 978-3-642-23186-5, 2012, Link

  • Wysocki M., Kapuściński T., Marnik J., Oszust M., Rozpoznawanie gestów wykonywanych rękami w systemie wizyjnym, Oficyna Wydawnicza Politechniki Rzeszowskiej, ISBN 978-83-7199-701-3, Rzeszów, 2011
  • Marnik J., Oszust M.: Rozpoznawanie statycznych gestów dłoni na potrzeby interfejsów człowiek-komputer, [w:] Trybus L., Samolej S.: Projektowanie, analiza i implementacja systemów czasu rzeczywistego, ISBN 978-83-206-1822-8, WKŁ. Warszawa, pp. 573 – 582, 2011

  • Oszust M., Wysocki M.: Recognition of Signed Expressions Using Visually–Oriented Subunits Obtained by an Immune–Based Optimization, T. Martin et al. (Eds.): International Conference of Soft Computing and Pattern Recognition, SoCPaR 2010, IEEE Conference Publications, Cergy Pontoise - Paris, France, pp. 41-46, 2010, Link DOI
  • Marnik J, Samolej S, Kapuściński T, Oszust M., Wysocki M.,Szczerba P. and Ogorzałek P.: Computer Vision and Graphics Based System for Interaction with Mentally and Physically Disabled Children, 3rd International Conference on Human System Interaction, HSI, Rzeszów, pp. 485-490, 2010 (best paper award in area of education and training), Student co-author, Link DOI
  • Oszust M., Wysocki M.: Determining Subunits for Sign Language Recognition by Evolutionary Cluster-Based Segmentation of Time Series, Rutkowski L. et al. (Eds.): Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, Springer-Verlag Berlin / Heidelberg pp. 189–196, 2010, Link pdf
  • Oszust M., Wysocki M.: Recognition of Signed Expressions Using Cluster-Based Segmentation of Time Series, Choras R. (Ed.): Image Processing and Communications Challenges 2, Advances in Soft Computing Springer-Verlag Berlin / Heidelberg, pp. 167-174, 2010, Link pdf

  • Oszust M., Wysocki M.: A Distributed Immune Algorithm for Solving Optimization Problems, Intelligent. Distributed Computing, Systems and Applications, Studies in Computational Intelligence Springer-Verlag Berlin / Heidelberg vol. 162, pp. 147-155, 2008, Link pdf
  • Oszust M., Wysocki M.: Zastosowanie algorytmów immunologicznych w rozpoznawaniu kształtu dłoni, "Diagnostyka procesów i systemów" pod red. J. Korbicza, K. Patana, M. Kowala, Wydawnictwo EXIT, pp. 173-180, 2007
  • Oszust M.: The agent-based environment oriented on implementation of immune algorithms Konferencja: 1st International Conference for Young Researchers In Computer Science, Control, Electrical Engineering and Telecommunications (ICYR), 18-20.09, Zielona Góra, Polska, 2006

Image recognition
Polish Sign Language recognition

Zespół Wizji Komputerowej i Optymalizacji PRZ
Koło Naukowe Interakcji Człowiek - Komputer GEST
IEEE CIS
Podkarpackie Centrum Edukacji Języka Migowego, Podkarpackie Stowarzyszenie Głuchych
Stowarzyszenie BRUNO