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Bibliography

GA15-16928S

  1. Flusser Jan, Suk Tomáš, Zitová Barbara :  2D and 3D Image Analysis by Moments, John Wiley & Sons, (Chichester 2016) [2016] Download DOI: 10.1002/9781119039402

  1. Novozámský Adam, Šorel Michal :  Detection of Copy-move Image Modification Using JPEG Compression Model , Forensic Science International vol.283, 1 (2018), p. 47-57 [2018] Download DOI: 10.1016/j.forsciint.2017.11.031
  2. Yang B., Flusser Jan, Kautský J. :  Rotation of 2D orthogonal polynomials , Pattern Recognition Letters vol.102, 1 (2018), p. 44-49 [2018] Download DOI: 10.1016/j.patrec.2017.12.013
  3. Yang B., Suk Tomáš, Flusser Jan, Shi Z., Chen X. :  Rotation invariants from Gaussian-Hermite moments of color images , Signal Processing vol.143, 1 (2018), p. 282-291 [2018] Download DOI: 10.1016/j.sigpro.2017.08.027
  4. Yang B., Kostková Jitka, Flusser Jan, Suk Tomáš, Bujack R. :  Rotation invariants of vector fields from orthogonal moments , Pattern Recognition vol.74, 1 (2018), p. 110-121 [2018] Download DOI: 10.1016/j.patcog.2017.09.004
  5. Suk Tomáš, Šimberová Stanislava :  Automated Meteor Detection by All-Sky Digital Camera Systems , Earth, Moon, and Planets vol.120, 3 (2017), p. 189-215 [2017] DOI: 10.1007/s11038-017-9511-z
  6. Pratama S. F., Muda A. K., Choo J. H., Flusser Jan, Abraham A. :  ATS drugs molecular structure representation using refined 3D geometric moment invariants , Journal of Mathematical Chemistry vol.55, 10 (2017), p. 1951-1963 [2017] Download DOI: 10.1007/s10910-017-0775-3
  7. Honarvar Shakibaei Asli Barmak, Flusser Jan :  New discrete orthogonal moments for signal analysis , Signal Processing vol.141, 1 (2017), p. 57-73 [2017] Download DOI: 10.1016/j.sigpro.2017.05.023
  8. Kotera Jan, Šmídl Václav, Šroubek Filip :  Blind Deconvolution With Model Discrepancies , IEEE Transactions on Image Processing vol.26, 5 (2017), p. 2533-2544 [2017] Download DOI: 10.1109/TIP.2017.2676981
  9. Yang B., Kostková Jitka, Flusser Jan, Suk Tomáš :  Scale invariants from Gaussian-Hermite moments , Signal Processing vol.132, 1 (2017), p. 77-84 [2017] Download DOI: 10.1016/j.sigpro.2016.09.013
  10. Novozámský Adam, Flusser Jan, Tachecí I., Sulík L., Bureš J., Krejcar O. :  Automatic blood detection in capsule endoscopy video , Journal of Biomedical Optics vol.21, 12 (2016), p. 1-8 [2016] Download DOI: 10.1117/1.JBO.21.12.126007
  11. Farokhi Sajad, Flusser Jan, Sheikh U. U. :  Near infrared face recognition: A literature survey , Computer Science Review vol.21, 1 (2016), p. 1-17 [2016] Download DOI: 10.1016/j.cosrev.2016.05.003
  12. Šimberová Stanislava, Suk Tomáš :  Dynamic process analysis by moments of extreme orders , Astronomy and Computing vol.14, p. 43-51 [2016] DOI: 10.1016/j.ascom.2016.01.003
  13. Kautsky J., Flusser Jan :  Numerical problems with the Pascal triangle in moment computation , Journal of Computational and Applied Mathematics vol.306, 1 (2016), p. 53-68 [2016] Download DOI: 10.1016/j.cam.2016.03.033
  14. Flusser Jan, Farokhi Sajad, Höschl Cyril, Suk Tomáš, Zitová Barbara, Pedone M. :  Recognition of Images Degraded by Gaussian Blur , IEEE Transactions on Image Processing vol.25, 2 (2016), p. 790-806 [2016] Download DOI: 10.1109/TIP.2015.2512108
  15. Höschl Cyril, Flusser Jan :  Robust histogram-based image retrieval , Pattern Recognition Letters vol.69, 1 (2016), p. 72-81 [2016] Download DOI: 10.1016/j.patrec.2015.10.012
  16. Suk Tomáš, Flusser Jan, Boldyš Jiří :  3D rotation invariants by complex moments , Pattern Recognition vol.48, 11 (2015), p. 3516-3526 [2015] Download DOI: 10.1016/j.patcog.2015.05.007
  17. Yang Bo, Flusser Jan, Suk Tomáš :  Design of high-order rotation invariants from Gaussian-Hermite moments , Signal Processing vol.113, 1 (2015), p. 61-67 [2015] Download DOI: 10.1016/j.sigpro.2015.01.005
  18. Pedone M., Flusser Jan, Heikkila J. :  Registration of Images with N-fold Dihedral Blur , IEEE Transactions on Image Processing vol.24, 3 (2015), p. 1036-1045 [2015] Download DOI: 10.1109/TIP.2015.2390977

  1. Novozámský Adam :  Selected Application Areas of Image Processing: Image Forensics and Medical Imaging, Czech Technical University in Prague, (Praha 2017) [2017] Download
  2. Novozámský Adam, Šorel Michal :  JPEG Compression Model in Copy-move Forgery Detection , Proceedings of the Seventh International Conference on Image Processing Theory, Tools and Applications, International Conference on Image Processing Theory, Tools and Applications (IPTA 2017) /7./, (Montreal, CA, 20171128) [2017] Download DOI: 10.1109/IPTA.2017.8310139
  3. Yang B., Kostková Jitka, Flusser Jan, Suk Tomáš, Bujack R. :  Recognition of Patterns in Vector Fields by Gaussian-Hermite Invariants , Proceedings of the 2017 IEEE International Conference on Image Processing (ICIP 2017), p. 2359-2363, IEEE International Conference on Image Processing 2017 (ICIP 2017), (Beijing, CN, 20170917) [2017] Download DOI: 10.1109/ICIP.2017.8296704
  4. Bujack R., Flusser Jan :  Flexible Moment Invariant Bases for 2D Scalar and Vector Fields , WSCG 2017 (25. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision) : Full Papers Proceedings, p. 11-20 , Eds: Skála  V., International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2017 /25./ (WSCG 2017), (Plzeň, CZ, 20170529) [2017] Download
  5. Zita Aleš, Flusser Jan, Suk Tomáš, Kotera Jan :  Feature Selection on Affine Moment Invariants in Relation to Known Dependencies , Computer Analysis of Images and Patterns : 17th International Conference, CAIP 2017, p. 285-295 , Eds: Felsberg M., Heyden A., Krüger N., International Conference on Computer Analysis of Images and Patterns (CAIP 2017) /17./, (Ystad, SE, 20170822) [2017] Download DOI: 10.1007/978-3-319-64698-5_24
  6. Suk Tomáš, Šimberová Stanislava :  Solar Flare Retrieval, Detection and Analysis , Proceedings of the 23rd International Conference on Pattern Recognition (ICPR), 23rd International Conference on Pattern Recognition ICPR 2016, (Cancún, MX, 20161204) [2016] Download DOI: 10.1109/ICPR.2016.7899797
  7. Höschl Cyril, Flusser Jan :  Decomposition of 3D Binary Objects into Rectangular Blocks , Digital Image Computing: Techniques and Applications (DICTA) 2016, DICTA 2016 : Digital Image Computing: Techniques and Applications, (Gold Coast, AU, 20161130) [2016] Download DOI: 10.1109/DICTA.2016.7797028
  8. Flusser Jan, Šroubek Filip, Zitová Barbara :  HANDLING BLUR (Tutorial) , Proceedings of the 23rd International Conference on Pattern Recognition, International Conference on Pattern Recognition 2016 /23./, (Cancun, MX, 20161204) [2016] Download
  9. Šimberová Stanislava, Suk Tomáš :  Automated detection of meteors in observed image sequence , International conference of computational methods in sciences and engineering 2015 , Eds: Simos T.E., International conference of computational methods in sciences and engineering 2015, (Athens, GR, 20150320) [2015] DOI: 10.1063/1.4938976
  10. Flusser Jan, Suk Tomáš, Farokhi Sajad, Höschl Cyril :  Recognition of Images Degraded by Gaussian Blur , Computer Analysis of Images and Patterns - CAIP 2015, p. 88-99 , Eds: Azzopardi George, Petkov Nicolai, Computer Analysis of Images and Patterns, (Valletta, MT, 02.09.2015-04.09.2015) [2015] Download DOI: 10.1007/978-3-319-23192-1_8
  11. Flusser Jan :  Visual Object Recognition in Machine Intelligence , Computational Intelligence, IASTED International Conference on Computational Intelligence 2015 /6./, (Innsbruck, AT, 16.02.2015-17.02.2015) [2015] Download