Publications - Pavel Vácha


Books and chapters (1)

1. Pavel Vácha, Michal Haindl: Illumination Invariants Based on Markov Random Fields. Pattern Recognition, Recent Advances, 253-272. In-Teh, Vukovar, Croatia 2010.   Download

Journal articles (3)

1. Pavel Vácha, Michal Haindl: Wood Variety Recognition on Mobile Devices. ERCIM News 93 (2013), 52-52.   Download
2. Pavel Vácha, Michal Haindl: Content-Based tile Retrieval System. ERCIM News 85 (2011), 45-45.   Download
3. Pavel Vácha, Michal Haindl, Tomáš Suk: Colour and rotation invariant textural features based on Markov random fields. Pattern Recognition Letters 32:6 (2011), 771-779. Elsevier.   Download

Conference papers (15)

1. Michal Haindl, Pavel Vácha: Scale Sensitivity of Textural Features. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, 84-92. Springer International Publishing, Cham 2017.   Download
2. Michal Haindl, Pavel Vácha: Wood Veneer Species Recognition using Markovian Textural Features. Computer Analysis of Images and Patterns - CAIP 2015, 300-311. Springer International Publishing, Switzerland 2015.   Download
3. Pavel Vácha, Michal Haindl: Texture Recognition using Robust Markovian Features. Computational Intelligence for Multimedia Understanding, 126-137. Springer, Berlin 2012.   Download
4. Jiří Filip, Pavel Vácha, Michal Haindl: Analysis of Human Gaze Interactions with Texture and Shape. Computational Intelligence for Multimedia Understanding, 160-171. Springer, Berlin 2012.   Download
5. Pavel Vácha, Michal Haindl: Natural Material Recognition with Illumination Invariant Textural Features. 20th International Conference on Pattern Recognition, 858-861. IEEE Computer Society CPS, Los Alamitos 2010.   Download
6. Pavel Vácha, Michal Haindl: Content-Based Tile Retrieval System. Structural, Syntactic, and Statistical Pattern Recognition, 434-443. Springer Berlin / Heidelberg, Berlin / Heidelberg 2010.   Download
7. Jiří Filip, Pavel Vácha, Michal Haindl, P.R. Green: A Psychophysical Evaluation of Texture Degradation Descriptors. Structural, Syntactic, and Statistical Pattern Recognition, 423-433. Springer Berlin / Heidelberg, Berlin / Heidelberg 2010.   Download
8. Pavel Vácha, Michal Haindl: Illumination Invariant and Rotational Insensitive Textural Representation. Proceedings of the 16th International Conference on Image Processing, ICIP 2009, 1333-1336. IEEE, Los Alamitos 2009.   Download
9. Michal Haindl, Stanislav Mikeš, Pavel Vácha: Illumination Invariant Unsupervised Segmenter. Proceedings of the 16th International Conference on Image Processing, ICIP 2009, 4025-4028. IEEE, Los Alamitos 2009.   Download
10. R. Kolář, Pavel Vácha: Texture Analysis of the Retinal Nerve Fiber Layer in Fundus Images via Markov Random Fields. World Congress on Medical Physics and Biomedical Engineering, 247-250. Springer, Heidelberg 2009.   Download
11. Pavel Vácha, Michal Haindl: Illumination Invariants Based on Markov Random Fields. Proceedings of the 19th International Conference on Pattern Recognition, 3588-3591. IEEE Press, Los Alamitos 2008.   Download
12. Pavel Vácha, Michal Haindl: Image retrieval measures based on illumination invariant textural MRF features. CIVR '07: Proceedings of the 6th ACM international conference on Image and video retrieval, 448-454. ACM Press, New York 2007.   Download
13. Pavel Vácha, Michal Haindl: Demonstration of image retrieval based on illumination invariant textural MRF features. CIVR '07: Proceedings of the 6th ACM international conference on Image and video retrieval, 135-137. ACM Press, New York 2007.   Download
14. Michal Haindl, Pavel Vácha: Illumination Invariant Texture Retrieval. Proceedings of ICPR 2006 - The 18th International Conference on Pattern Recognition, 276-279. IEEEPress, Piscataway 2006.   Download
15. Pavel Vácha: Texture similarity measure. WDS'05 Proceedings of Contributed Papers, 47-52. MATFYZPRESS, Praha 2005.

Other publications (2)

1. Pavel Vácha: Query by Pictorial Example. MFF UK, Praha 2010.
2. Petr Somol, Pavel Vácha, Stanislav Mikeš, Jan Hora, Pavel Pudil, Pavel Žid: Introduction to Feature Selection Toolbox 3 – The C++ Library for Subset Search, Data Modeling and Classification. Research Report 2287. ÚTIA, Praha 2010.   Download