Publications

  1. Forczmański Paweł, 2016, Evaluation of Singer’s Voice Quality by Means of Visual Pattern Recognition, Journal of Voice vol. 30 no. 1, pp. 127.e21-127.e30
  2. Forczmański Paweł, Maleika Wojciech, 2015, Near-lossless PCA-based Compression of Seabed Surface with Prediction, Proceedings 12th International Conference on Image Analysis and Recognition ICIAR 2015, Lecture Notes in Computer Science vol. 9164, pp.119-128
  3. Forczmański Paweł, Łabędź Piotr, 2015, Improving the Recognition of Occluded Faces by Means of Two-dimensional Orthogonal Projection into Local Subspaces, Image Analysis and Recognition ICIAR 2015, Lecture Notes in Computer Science vol. 9164, pp. 229-238
  4. Forczmański Paweł, 2014, 2DKLT-based color image watermarking, Proceedings International Conference Image Processing and Communications, Image Processing and Communications Challenges 5, Advances in Intelligent Systems and Computing vol. 233, pp. 107-114, document
  5. Forczmański Paweł, 2013, Recognition of occluded traffic signs based on two-dimensional linear discriminant analysis, 2013, Archives of Transport System Telematics, vol. 6, ipp. 3, September 2013, pp. 10-13 forczmanski_atst_3_2013
  6. Forczmański Pawel, Kukharev Georgy, Shchegoleva Nadezdha, 2013, Simple and Robust Facial Portraits Recognition under Variable Lighting Conditions Based on Two-Dimensional Orthogonal Transformations, 17th International Conference on Image Analysis and Processing ICIAP 2013, Lecture Notes in Computer Science 8156, pp. 602-611
  7. Forczmański Paweł, 2012, Comparison of Tensor Unfolding Variants for 2DPCA-Based Color Facial Portraits Recognition, Proceedings 6th International Conference on Computer Vision and Graphics ICCVG 2012, Lecture Notes in Computer Science vol. 7594, pp. 345-353
  8. Forczmański Paweł, Frejlichowski Dariusz, 2012, Classification of elementary stamp shapes by means of reduced point distance histogram representation, Proceedings Machine Learning and Data Mining MLDM 2012, Lecture Notes in Artificial Intelligence vol. 7376 , pp. 603-616
  9. Forczmański Paweł, Kukharev Georgy, Kamenskaya Ekaterina, 2011, Application of cascading two-dimensional canonical correlation analysis to image matching, Control and Cybernetics 40 (3), pp. 833-848
  10. Forczmanski Pawel, Kukharev Georgy, 2007, Comparative analysis of simple facial features extractors, Journal Of Real-Time Image Processing, vol 1, Ipp. 4, pp. 239-255
  11. Kukharev Georgy, Forczmański Paweł, 2007, Facial images dimensionality reduction and recognition by means of 2DKLT, Machine Graphics and Vision, 16 (3-4), pp. 401-425
  12. Kukharev Georgy, Forczmański Paweł, 2005, Data dimensionality reduction for face recognition, Machine Graphics and Vision 13 (1-2), pp. 99-121
  13. Forczmański Paweł, Markiewicz Andrzej, 2015, Stamps Detection and Classification Using Simple Features Ensemble, Mathematical Problems in Engineering, vol. 2015, Article ID 367879, http://dx.doi.org/10.1155/2015/367879
  14. Frejlichowski Dariusz, Gościewska Katarzyna, Forczmański Paweł, Hofman Radosław, 2015, Application of foreground object patterns analysis for event detection in an innovative video surveillance system, Pattern Analysis and Applications, vol. 18, ipp. 3, pp. 473-484
  15. Frejlichowski Dariusz, Gościewska Katarzyna, Forczmański Paweł, Hofman Radosław, 2014, “SmartMonitor”-An Intelligent Security System for the Protection of Individuals and Small Properties with the Possibility of Home Automation, Sensors Vol. 14 Ipp. 6, pp. 9922-9948
  16. Forczmański Paweł, Kukharev Georgy, Shchegoleva Nadezdha, 2012, An algorithm of face recognition under difficult lighting conditions, Przegląd Elektrotechniczny (Electrical Review), r. 88 No. 10b/2012, pp. 201-204
  17. Czapiewski P., Forczmański P., Okarma K., Frejlichowski D., Hofman R., 2016, Clothing Similarity Estimation Using Dominant Color Descriptor and SSIM Index, Proceedings 9th International Conference on Computer Recognition Systems CORES 2015, Advances in Intelligent Systems and Computing vol. 403, pp. 491-500
  18. Forczmanski P., Mąka T., 2016, Investigating Combinations of Visual Audio Features and Distance Metrics in the Problem of Audio Classification, Proceedings 9th International Conference on Computer Recognition Systems CORES 2015, Advances in Intelligent Systems and Computing vol. 403, pp. 733-744
  19. Mąka T., Forczmanski P., 2016, Environmental Sounds Recognition Based on Image Processing Methods, Proceedings 9th International Conference on Computer Recognition Systems CORES 2015, Advances in Intelligent Systems and Computing vol. 403, pp. 723-732
  20. Jasiński P., Forczmański P., 2016, Combined Imaging System for Taking Facial Portraits in Visible and Thermal Spectra, Proceedings International Conference Image Processing and Communications IP&C 2015, Image Processing and Communications Challenges 7, Advances in Intelligent Systems and Computing vol. 389, pp. 63-71
  21. Nowosielski A., Frejlichowski D., Forczmański P., Gościewska K., Hofman R., 2016, Automatic Analysis of Vehicle Trajectory Applied to Visual Surveillance, Proceedings International Conference Image Processing and Communications IP&C 2015, Image Processing and Communications Challenges 7, Advances in Intelligent Systems and Computing 389 , pp. 89-96
  22. Frejlichowski D., Gościewska K., Forczmański P., Nowosielski A., Hofman R., 2016, Applying Image Features and AdaBoost Classification for Vehicle Detection in the ‘SM4Public’ System, Proceedings International Conference Image Processing and Communications IP&C 2015, Image Processing and Communications Challenges 7, Advances in Intelligent Systems and Computing vol. 389, pp. 81-88
  23. Frejlichowski D., Gościewska K., Nowosielski A., Forczmański P., Hofman R., 2015, Application of Cascades of Classifiers in the Vehicle Detection Scenario for the ‘SM4Public’ System. Proceedings 16th International Conference on Intelligent Data Engineering and Automated Learning IDEAL 2015, Lecture Notes in Computer Science vol. 9375, pp. 207-215
  24. Frejlichowski D., Gościewska K., Nowosielski A., Forczmański P., Hofman R., 2015, Detecting Parked Vehicles in Static Images Using Simple Spectral Features in the ‘SM4Public’System, Proceedings 12th International Conference on Image Analysis and Recognition ICIAR 2015, Niagara Falls, Kanada, Lecture Notes in Computer Science vol. 9164, pp. 489-498
  25. Markiewicz A., Forczmański P., 2015, Detection and Classification of Interesting Parts in Scanned Documents by Means, Proceedings 16th International Conference on Computer Analysis of Images and Patterns CAIP 2015, Valetta, Malta, Lecture Notes in Computer Science vol. 9257, pp. 529-540
  26. Forczmański P., Maleika W., 2015, Predicting the Number of DCT Coefficients in the Process of Seabed Data Compression, Proceedings 16th International Conference on Computer Analysis of Images and Patterns CAIP 2015, Valetta, Malta, Lecture Notes in Computer Science vol. 9256, pp. 77-87
  27. Czapiewski P., Forczmański P., Frejlichowski D., Hofman R., 2015, Clustering-Based Retrieval of Similar Outfits Based on Clothes Visual Characteristics, Proceedings 6th International Conference Image Processing and Communications IP&C 2014, Image Processing & Communications Challenges 6, Advances in Intelligent Systems and Computing vol. 313, pp. 29-36
  28. Forczmański P., 2015, Improving Shape Retrieval and Classification Rates through Low-Dimensional Features Fusion, Proceedings 6th International Conference Image Processing and Communications IP&C 2014, Image Processing & Communications Challenges 6, Advances in Intelligent Systems and Computing vol. 313, pp. 37-44
  29. Forczmański P., Nowosielski A., Marczeski P., 2015, Video Stream Analysis for Fish Detection and Classification, Proceedings 19th Interational Conference Advanced Computer Systems ACS 2014, Advances in Intelligent Systems and Computing 342 AISC, pp. 157-169
  30. Forczmański P., Czapiewski P., Frejlichowski D., Okarma K., Hofman R., 2014, Comparing clothing styles by means of computer vision methods, Proceedings 7th International Conference on Computer Vision and Graphics ICCVG 2014, Lecture Notes in Computer Science vol. 8671, pp. 203-211
  31. Dziurzański P., Mąka T., Forczmański P., 2014, Hardware acceleration of data classifiers for multimedia processing tasks, Pomiary, Automatyka, Kontrola Vol. 60, nr 6, pp. 382-384
  32. Okarma K., Frejlichowski D., Czapiewski P., Forczmański P., Hofman R., 2014, Similarity Estimation of Textile Materials Based on Image Quality Assessment Methods, Proceedings 7th International Conference on Computer Vision and Graphics, ICCVG 2014, Lecture Notes in Computer Science vol. 8671, pp. 478-485
  33. Forczmański P., Mantiuk R., 2014, Adaptive and Quality-Aware Storage of JPEG Files in the Web Environment, Proceedings 7th International Conference on Computer Vision and Graphics ICCVG 2014, Lecture Notes in Computer Science vol. 8671, pp. 212-219
  34. Frejlichowski D., Gościewska K., Forczmański P., Hofman R., 2014, Human Detection for a Video Surveillance Applied in the ‘SmartMonitor’ System, Proceedings 7th International Conference on Computer Vision and Graphics ICCVG 2014, Lecture Notes in Computer Science vol. 8671, pp. 220-227
  35. Forczmański P., Dziurzański P., Mąka T., 2014, System-Level Implementation of the Algorithms Used in Content-Based Multimedia Retrieval, Advanced Approaches to Intelligent Information and Database Systems, Studies in Computational Intelligence vol. 551, pp. 325-334
  36. Forczmański P., Małecki K., 2013, Selected Aspects of Traffic Signs Recognition: Visual versus RFID Approach, Activities of Transport Telematics, Communications in Computer and Information Science vol. 395, pp. 268-274
  37. Frejlichowski D., Gosciewska, K., Forczmanski P., Nowosielski A., Hofman R., 2013, The Removal of False Detections from Foreground Regions Extracted Using Adaptive Background Modelling for a Visual Surveillance System. Computer Information Systems and Industrial Management – 12th IFIP TC8 International Conference, CISIM, Kraków, Poland, September 25-27, 2013, Lecture Notes in Computer Science vol. 8104, pp. 253-264
  38. Forczmański P., 2013, Ocena jakości głosu śpiewaczego metodami przetwarzania i rozpoznawania obrazów, Monografie Informatyczne, tom IV – Metody komputerowe w zastosowaniu do analizy i wspierania kształcenia głosu śpiewaczego (red.: Edward Półrolniczak), Szczecin 2013, pp. 161-172
  39. Forczmański P., Łabędź P., 2013, Recognition of Occluded Faces Based on Multi-subspace Classification, Computer Information Systems and Industrial Management – 12th IFIP TC8 International Conference, CISIM, Kraków, Poland, September 25-27, 2013, Lecture Notes in Computer Science vol. 8104, pp. 148-157
  40. Forczmański P., Dziurzański P., 2013, System-level hardware implementation of simplified Low-Level color image descriptor, Proceedings 8th International Conference On Computer Recognition Systems CORES 2013, Advances in Intelligent Systems and Computing, vol. 226, pp. 461-468
  41. Frejlichowski D., Gościewska K., Forczmański P., Nowosielski A., Hofman R., 2013, Extraction of the foreground regions by means of the adaptive background modelling based on various colour components for a visual surveillance system, Proceedings 8th International Conference On Computer Recognition Systems CORES 2013, Advances in Intelligent Systems and Computing vol. 226, pp. 351-360
  42. Forczmański P., Markiewicz A., 2013, Low-Level image features for stamps detection and classification, Proceedings 8th International Conference On Computer Recognition Systems CORES 2013, Advances in Intelligent Systems and Computing vol. 226, pp. 383-392
  43. Forczmański P., 2013, On the dimensionality of PCA method and color space in face recognition, Proceedings Internatiuonal Conference Image Processing and Communications IP&C 2012, Advances in Intelligent Systems and Computing vol. 184, pp. 55-63
  44. Forczmański P., Furman M., 2012, Comparative Analysis of Benchmark Datasets for Face Recognition Algorithms Verification, Proceedings 6th International Conference on Computer Vision and Graphics ICCVG 2012, Lecture Notes in Computer Science vol. 7594, , pp. 354-362
  45. Frejlichowski D., Forczmański P., Nowosielski A., Gościewska K., Hofman R., 2012, SmartMonitor: An Approach to Simple, Intelligent and Affordable Visual Surveillance System, Proceedings 6th International Conference on Computer Vision and Graphics ICCVG 2012, Lecture Notes in Computer Science vol. 7594, , pp. 726-734
  46. Maćków W., Forczmański P., 2011, Academic Teachers Evaluation System Based on Secure Voting, Information Systems Architecture and Technology: Information as the Intangible Assets and Company Value Source, Biblioteka Informatyki Szkół Wyższych, Wrocław University of Technology, pp. 149-158
  47. Forczmański P., Frejlichowski D., 2011, Principal Component Analysis of Point Distance Histogram for Recognition of Stamp Silhouettes, Proceedings International Conference Image Processing and Communications IP&C 2011, Image Processing and Communications Challenges 3, Advances in Intelligent and Soft Computing vol. 102, pp. 219-226
  48. Forczmański P., 2011, Expert System For Visual Advertising Design, Information Systems Architecture and Technology: System Analysis Approach to the Design, Control and Decision Support, Biblioteka Informatyki Szkół Wyższych, Wrocław University of Technology, pp. 27-36
  49. Forczmański P., Frejlichowski D., 2011, Efficient Stamps Classification by Means of Point Distance Histogram and Discrete Cosine Transform, Proceedings International Conference on Computer Recognition Systems CORES 2011, Computer Recognition Systems 4, Advances in Intelligent and Soft Computing vol. 95, pp. 327–336
  50. Forczmański P., 2010, Experimental Comparison of PCA/2DPCA and IPCA Performance in Image Recognition Task, Information Systems Architecture and Technology: System Analysis Approach to the Design, Control and Decision Support, Biblioteka Informatyki Szkół Wyższych, Wrocław University of Technology, pp. 163-176
  51. Forczmański P., 2010, Web System for Biometric Verification of Facial Portraits, IEEE 6th International Conference Perspective Technologies and Methods in MEMS Design, MEMSTECH 2010, Polyana, Ukraina, pp. 151-157
  52. Forczmański P., Frejlichowski D., 2010, Current challenges in content-based image retrieval by means of low-level feature combining, Annales Universitatis Mariae Curie-Skłodowska. Sectio AI Informatica, vol. XI no. 2, pp. 49-57
  53. Forczmański P., 2010, Stamp detection in scanned documents, Annales Universitatis Mariae Curie-Skłodowska. Sectio AI Informatica, vol. XI. no. 2, pp. 59-65
  54. Kukharev G., Tujaka A., Forczmański P., 2010, Facial portraits matching by means of two-dimensional CCA and PLS, Metody Informatyki Stosowanej 1/2010 (22), pp. 69-86
  55. Frejlichowski D., Forczmański P., 2010, General Shape Analysis Applied to Stamps Retrieval from Scanned Documents, Proceedings 14th International Conference Artificial Intelligence: Methodology, Systems, and Applications, Varna, Bułgaria, Lecture Notes in Computer Science vol. 6304, pp. 251-260
  56. Forczmański P., 2010, Strategies of covariance matrix calculation in the PCA method applied for three-dimensional data, Pomiary, Automatyka, Kontrola 10/2010, pp. 1162-1165
  57. Forczmański P., Frejlichowski D., 2010, Robust Stamps Detection and Classification by Means of General Shape Analysis, Proceedings 5th International Conference on Computer Vision and Graphics ICCVG 2010, Lecture Notes in Computer Science vol. 6374,, pp. 360-367
  58. Forczmański P., Seweryn M., 2010, Surveillance Video Stream Analysis Using Adaptive Background Model and Object Recognition, Proceedings 5th International Conference on Computer Vision and Graphics ICCVG 2010, Lecture Notes in Computer Science vol. 6374, pp. 114-121
  59. Forczmański P., Węgrzyn M., 2009, Open Virtual Steganographic Laboratory, Elektronika: konstrukcje, technologie, zastosowania, nr 50(11), pp. 60-65
  60. Forczmański P., Seweryn M., 2009, Object classification in surveillance stream using adaptive background model, Metody Informatyki Stosowanej, nr 4, pp. 17-22
  61. Forczmański P., Wojcieszak S., 2009, Web system for perceptive evaluation of CBIR algorithms, Information systems architecture and technology: advances in Web-Age Information Systems, eds. Leszek Borzemski [i in.], Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej, pp. 113-122
  62. Forczmański P., Okarma K., 2009, Application of the central weighted structural similarity index for the estimation of the face recognition accuracy. Annales Universitatis Mariae Curie-Skłodowska. Sectio AI Informatica, vol. 9 no. 1, pp. 153-163
  63. Forczmański P., 2008, Image processing algorithms employing two-dimensional Karhunen-Loeve Transform, Annales Universitatis Mariae Curie-Skłodowska. Sectio AI Informatica, vol. 8, ipp. 1, pp. 55-65
  64. Okarma K., Forczmański P., 2008, 2DLDA-based texture recognition in the aspect of objective image quality assessment, Annales Universitatis Mariae Curie-Skłodowska. Sectio AI Informatica, vol. 8, no. 1, pp. 99-110
  65. Forczmański P., Zołotuchin P., 2008, Automatic verification of facial images for the purpose of biometric passports, Information systems architecture and technology, Wrocław, pp. 251-261
  66. Forczmański P., Bania A., 2008, Content-Based Image Retrieval in Compressed Domain, Proceedings 15th International Multi-Conference on Advanced Computer Systems, Polish Journal of Environmental Studies, vol. 7, no. 4c, pp. 428-432
  67. Forczmański P., 2008, Effective Compression and Indexing of Surveillance Video Stream, Proceedings Congress of Young IT Scientists, Polish Journal of Environmental Studies, vol. 17, no. 3B, pp. 98-102
  68. Forczmański P., 2008, Unified JPEG and JPEG-2000 color descriptor for content-based image retrieval, Metody Informatyki Stosowanej, nr 4, pp. 53-62
  69. Forczmański P., Węgrzyn M., 2008, Virtual Steganographic Laboratory for Digital Images, Information systems architecture and technology, Wrocław, Poland pp. 163- 173
  70. Forczmański P., 2007, 2DKLT-Based image compression and scrambling, Proceedings Congress of Young IT Scientists, Polish Journal of Environmental Studies, vol. 16, no. 5A, pp. 86-89
  71. Forczmański P., Frejlichowski D., 2007, Strategies of Shape and Color Fusions for Content Based Image Retrieval, Proceedings 5th International Conference on Computer Recognition Systems CORES 2007, Computer Recognition Systems 2: Advances in Soft Computing vol. 45, pp. 3-10
  72. Forczmański P., 2007, Information Embedding in Remotely sensed images by means of two-dimensional Karhunen-Loeve Transform, Proceedings 14th International Conference Advanced Computer Systems ACS 2007, Polish Journal of Environmental Studies, vol. 16, no. 5B, pp. 275-279
  73. Forczmański P., Dziurzański P., 2007, System-level model of hardware assisted still image compression based on two dimensional principal component analysis, Elektronika – konstrukcje, technologie, zastosowania, nr 7, pp. 22-24
  74. Kukharev G., Forczmański P., 2006, Two-dimensional LDA approach to image compression and recognition, Computing, Multimedia and Intelligent Techniques 2 (1), pp. 45-53
  75. Kukharev G., Forczmański P., Nowosielski A., 2006, Wykorzystanie prostych ekstraktorów cech obrazu w programowo-sprzętowych systemach biometrycznych, Pomiary, Automatyka, Kontrola nr 52, pp. 77-79
  76. Mikłasz M., Nowosielski A., Forczmański P., 2006, Network Face Recognition System, Polish Journal of Environmental Studies, vol.15, no. 4C, pp. 115-118
  77. Borawski M., Forczmański P., 2005, Sonar Image Simulation by Means of Ray Tracing and Image Processing, Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems, Springer, Chapter 2, pp. 209-214
  78. Borawski M., Forczmański P., 2005, Gram-Schmidt Orthonormalization-Based Color Model for Object Detection, Information Processing and Security Systems Part I, Springer, pp. 87-94
  79. Forczmański P., Szeptycki P., 2005, Indeksowanie dużych zbiorów obrazów, Roczniki Informatyki Stosowanej Wydziału Informatyki PS, Nr 8, Metody informatyki stosowanej w technice i technologii, Szczecin
  80. Kukharev G., Forczmański P., 2005, Face Recognition by Means of Two-Dimensional Direct Linear Discriminant Analysis, Proceedings of the 8th International Conference PRIP 2005 Pattern Recognition and Information Processing, Republic of Belarus, Minsk, pp. 280-283
  81. Borawski M., Forczmański P., 2005, Orthonormalized Color Model for Object Detection, Computer Information Systems and Applications, vol. 1, pp. 135-141, Białystok
  82. Maleika W., Forczmański P., 2005, Kompresja danych opisujących powierzchnię dna wykorzystująca KLT. VIII Międzynarodowa conference proceedings Morska “Aspekty bezpieczeństwa nawodnego i podwodnego oraz lotów nad morzem”, Akademia Marynarki Wojennej, Gdynia, pp. 203-214
  83. Borawski M., Forczmański P., 2005, Wspomagana komputerowo nauka języków obcych w oparciu o analizę głosu i ruch ust, Edukacja informacyjna – technologie informacyjne w ponowoczesnym świecie, Oficyna Wydawnicza CdiDN, WSH TWP, Szczecin, pp. 55-60
  84. Forczmański P., 2004, Obrazy lotnicze i satelitarne, „Metody nawigacji porównawczej”, pod red. A. Statecznego,Wyd. Gdańskie Towarzystwo Naukowe, Gdynia, pp. 73-87
  85. Forczmański P., 2004, Pozycjonowanie bazujące na obrazach lotniczych i satelitarnych, „Metody nawigacji porównawczej”, pod red. A. Statecznego, Wyd. Gdańskie Towarzystwo Naukowe, Gdynia, pp. 375-403
  86. Forczmański P., Dziurzański P., 2003, Komputerowe wspomaganie oceny wymowy w nauczaniu języka obcego, Materiały 8 Sesji Naukowej Informatyki: T. 1, Szczecin: Wydział Informatyki Politechniki Szczecińskiej, pp. 171-174
  87. Maleika W., Forczmański P., 2002, Wavelets in Adaptive Compression Of Data Describing Sea-Bottom, Proceedings 9th International Conference Advanced Computer Systems ACS 2002, pp. 381-387