Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Constructions of sets of integral images for fast feature extraction and machine learning in detection tasks

2016/21/B/ST6/01495

Keywords:

integral images feature extraction machine learning detection

Descriptors:

  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • ST6_8: Computer graphics, image processing, computer vision, multimedia, computer games

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Zachodniopomorski Uniwersytet Technologiczny w Szczecinie, Wydział Informatyki

woj. zachodniopomorskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr hab. Przemysław Klęsk 

Number of co-investigators in the project: 5

Call: OPUS 11 - announced on 2016-03-15

Amount awarded: 412 680 PLN

Project start date (Y-m-d): 2017-01-27

Project end date (Y-m-d): 2020-09-26

Project duration:: 44 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. Obliczeniowa stacja robocza o wymaganych parametrach: procesor klasy Intel Xeon, 2.5 GHz, 12/24 (rdzenie/wątki), cache L3 30 MB; pamięć RAM 128 GB, dysk SSD 2 TB, karta grafiki klasy nVidia GeForce (38 000 PLN)
  2. Obliczeniowa mobilna stacja robocza o wymaganych parametrach: procesor klasy Intel Xeon (2.5 GHz, 4/8 rdzenie/wątki, cache L3 8MB), pamięć RAM 64 GB, dysk SSD 1TB (24 000 PLN)
  3. Zewnętrzny dysk SSD o pojemności 8 TB (1 500 PLN)

Information in the final report

  • Publication in academic press/journals (2)
  • Articles in post-conference publications (9)
  1. Constant-time Calculation of Zernike Moments for Detection with Rotational Invariance
    Authors:
    Aneta Bera, Przemysław Klęsk, Dariusz Sychel
    Academic press:
    IEEE Transactions on Pattern Analysis and Machine Intelligence (rok: 2019, tom: 41(3), strony: 537-551), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TPAMI.2018.2803828 - link to the publication
  2. Can Boosted Randomness Mimic Learning Algorithms of Geometric Nature? Example of a Simple Algorithm that Converges in Probability to Hard-Margin SVM
    Authors:
    Przemysław Klęsk, Marcin Korzeń
    Academic press:
    IEEE Transactions on Neural Networks and Learning Systems (rok: 2021, tom: 32(9), strony: 3798-3818), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TNNLS.2021.3059653 - link to the publication
  1. Notes on Expected Computational Cost of Classifiers Cascade: A Geometric View
    Authors:
    Dariusz Sychel, Przemysław Klęsk, Aneta Bera
    Conference:
    7th International Conference on Pattern Recognition Applications and Methods (rok: 2018, ), Wydawca: SciTePress
    Data:
    konferencja 16-18.01.2018
    Status:
    Published
  2. Regularized Learning of Neural Network with Application to Sparse PCA
    Authors:
    Jan Rodziewicz-Bielewicz, Jacek Klimaszewski, Marcin Korzeń
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (ICAISC 2019) (rok: 2019, ), Wydawca: Springer
    Data:
    konferencja 43632
    Status:
    Published
  3. Fitting Penalized Logistic Regression Models Using QR Factorization
    Authors:
    Jacek Klimaszewski, Marcin Korzeń
    Conference:
    ICCS 2020 (International Conference on Computational Science 2020) (rok: 2020, ), Wydawca: Springer
    Data:
    konferencja 43985
    Status:
    Published
  4. From Synthetic Images Towards Detectors of Real Objects: a Case Study on Road Sign Detection
    Authors:
    Przemysław Klęsk
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (ICAISC) (rok: 2019, ), Wydawca: Springer
    Data:
    konferencja 43632
    Status:
    Published
  5. Relaxed Per-Stage Requirements for Training Cascades of Classifiers
    Authors:
    Dariusz Sychel, Przemysław Klęsk, Aneta Bera
    Conference:
    ECAI 2020, 24th European Conference on Artificial Intelligence (rok: 2020, ), Wydawca: IOS Press
    Data:
    konferencja 44072
    Status:
    Published
  6. Reduction of Numerical Errors in Zernike Invariants Computed via Complex-Valued Integral Images
    Authors:
    Przemysław Klęsk, Aneta Bera, Dariusz Sychel
    Conference:
    ICCS 2020 (International Conference on Computational Science 2020) (rok: 2020, ), Wydawca: Springer
    Data:
    konferencja 43985
    Status:
    Published
  7. Branch-and-Bound Search for Training Cascades of Classifiers
    Authors:
    Dariusz Sychel, Przemysław Klęsk, Aneta Bera
    Conference:
    ICCS 2020 (International Conference on Computational Science 2020) (rok: 2020, ), Wydawca: Springer
    Data:
    konferencja 43985
    Status:
    Published
  8. Constant-time Extraction of Statistical Moments for Object Detection Procedures
    Authors:
    Przemysław Klęsk, Aneta Bera
    Conference:
    7th International Conference on Pattern Recognition Applications and Methods (rok: 2018, ), Wydawca: SciTePress
    Data:
    konferencja 16-18.01.2018
    Status:
    Published
  9. Constant-Time Fourier Moments for Face Detection - Can Accuracy of Haar-Like Features Be Beaten?
    Authors:
    Przemysław Klęsk
    Conference:
    16th International Conference on Artificial Intelligence and Soft Computing (rok: 2017, ), Wydawca: Springer International Publishing AG, Cham
    Data:
    konferencja 11-15.06.2017
    Status:
    Published
    DOI:
    link to the publication

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