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Jitka Kostková

  1. Flusser Jan, Suk Tomáš, Kostková Jitka, Lébl Matěj, Ibrahim I. :  Moment Invariants of Vector and Tensor Fields , Recent Progress in Moments and Moment Invariants, p. 1-28 , Eds: Papakostas G. A., ( 2021) Recent Progress in Image Moments and Moment Invariants Science Gate Pub. vol.vol. 7 [2021] Download DOI: 10.15579/gcsr

  1. Flusser Jan, Lébl Matěj, Šroubek Filip, Pedone M., Kostková Jitka :  Blur Invariants for Image Recognition , International Journal of Computer Vision vol.131, 9 (2023), p. 2298-2315 [2023] Download Download DOI: 10.1007/s11263-023-01798-7
  2. Bedratyuk L., Flusser Jan, Suk Tomáš, Kostková Jitka, Kautský J. :  Non-separable rotation moment invariants , Pattern Recognition vol.127, 108607 [2022] Download Download DOI: 10.1016/j.patcog.2022.108607
  3. Kostková Jitka, Suk Tomáš, Flusser Jan :  Affine Invariants of Vector Fields , IEEE Transactions on Pattern Analysis and Machine Intelligence vol.43, 4 (2021), p. 1140-1155 [2021] Download Download DOI: 10.1109/TPAMI.2019.2951664
  4. Kostková Jitka, Flusser Jan :  Robust Multivariate Density Estimation under Gaussian Noise , Multidimensional Systems and Signal Processing vol.31, 3 (2020), p. 1113-1143 [2020] Download Download DOI: 10.1007/s11045-020-00702-7
  5. Kostková Jitka, Flusser Jan, Lébl Matěj, Pedone M. :  Handling Gaussian Blur without Deconvolution , Pattern Recognition vol.103, 107264 [2020] Download Download DOI: 10.1016/j.patcog.2020.107264
  6. 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
  7. 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

  1. Kostková Jitka, Flusser Jan, Pedone M. :  Combined Invariants to Gaussian Blur and Affine Transformation , Proceedings of the 25th International Conference on Pattern Recognition (ICPR 2020), p. 459-464, 25th International Conference on Pattern Recognition (ICPR), (Milan, Italy, IT, 20210110) [2021] Download
  2. Kostková Jitka, Flusser Jan :  Robust Histogram Estimation Under Gaussian Noise , Computer Analysis of Images and Patterns : CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings, p. 421-432 , Eds: Vento M., Percannella G., Colantonio S., Giorgi D., Matuszewski B. J., Kerdegari H., Razaak M., International Conference on Computer Analysis of Images and Patterns, CAIP 2019 /18./, (Salerno, IT, 20190902) [2019] Download DOI: 10.1007/978-3-030-29888-3_34
  3. Kostková Jitka, Flusser Jan :  On the Null-Space of the Shape-Color Moment Invariants , Computer Analysis of Images and Patterns : CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings, p. 402-408 , Eds: Vento M., Percannella G., Colantonio S., Giorgi D., Matuszewski B. J., Kerdegari H., Razaak M., International Conference on Computer Analysis of Images and Patterns, CAIP 2019 /18./, (Salerno, IT, 20190902) [2019] Download DOI: 10.1007/978-3-030-29888-3_32
  4. Kostková Jitka, Flusser Jan, Lébl Matěj, Pedone M. :  Image Invariants to Anisotropic Gaussian Blur , Image Analysis : 21st Scandinavian Conference, SCIA 2019, p. 140-151, Scandinavian Conference on Image Analysis - SCIA'19, (Norkoping, SE, 20190611) [2019] Download DOI: 10.1007/978-3-030-20205-7_12
  5. Kostková Jitka, Suk Tomáš, Flusser Jan :  Affine Moment Invariants of Vector Fields , Proceedings of the 25th IEEE International Conference on Image Processing 2018, p. 1338-1342, IEEE International Conference on Image Processing 2018 (ICIP 2018) /25./, (Atény, GR, 20181007) [2018] Download DOI: 10.1109/ICIP.2018.8451371
  6. 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
2019-01-07 08:39
Institute of Information Theory and Automation