Colour and rotation invariant textural features based on Markov random fields P Vácha, M Haindl, T Suk Pattern Recognition Letters 32 (6), 771-779, 2011 | 35 | 2011 |
Image retrieval measures based on illumination invariant textural MRF features P Vacha, M Haindl Proceedings of the 6th ACM international conference on Image and video …, 2007 | 30 | 2007 |
Detecting camera conditions to initiate camera maintenance V Libal, P Vacha, A Reichert US Patent 9,349,068, 2016 | 27 | 2016 |
Illumination invariants based on markov random fields P Vácha, M Haindl 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 17 | 2008 |
Camera-aided controller of illumination P Vacha, Z Schindler, V Libal, K Marik US Patent App. 15/014,947, 2017 | 16 | 2017 |
Texture analysis of the retinal nerve fiber layer in fundus images via Markov random fields R Kolář, P Vacha World Congress on Medical Physics and Biomedical Engineering, September 7-12 …, 2009 | 15 | 2009 |
Illumination invariant texture retrieval M Haindl, P Vácha 18th International Conference on Pattern Recognition (ICPR'06) 3, 276-279, 2006 | 14 | 2006 |
Introduction to feature selection toolbox 3–the c++ library for subset search, data modeling and classification P Somol, P Vácha, S Mikeš, J Hora, P Pudil, P Zid Research Report for Institute of Information Theory and Automation, Academy …, 2010 | 11 | 2010 |
Natural material recognition with illumination invariant textural features P Vácha, M Haindl 2010 20th International Conference on Pattern Recognition, 858-861, 2010 | 10 | 2010 |
Illumination invariant unsupervised segmenter M Haindl, S Mikeš, P Vácha 2009 16th IEEE International Conference on Image Processing (ICIP), 4025-4028, 2009 | 8 | 2009 |
Analysis of human gaze interactions with texture and shape J Filip, P Vácha, M Haindl Computational Intelligence for Multimedia Understanding: International …, 2012 | 7 | 2012 |
Building space control V Libal, N Garland, P Vacha, G Whiting, E Rivet US Patent 10,061,390, 2018 | 5 | 2018 |
Wood veneer species recognition using Markovian textural features M Haindl, P Vácha Computer Analysis of Images and Patterns: 16th International Conference …, 2015 | 5 | 2015 |
System and method of anomaly detection with categorical attributes V Libal, P Vacha, V Guralnik US Patent 9,030,316, 2015 | 4 | 2015 |
Texture recognition using robust Markovian features P Vácha, M Haindl Computational Intelligence for Multimedia Understanding: International …, 2012 | 4 | 2012 |
A psychophysical evaluation of texture degradation descriptors J Filip, P Vácha, M Haindl, PR Green Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2010 | 4 | 2010 |
System and method of anomaly detection with categorical attributes V Libal, P Vacha, V Guralnik US Patent 9,449,483, 2016 | 3 | 2016 |
Query by pictorial example P Vácha Univerzita Karlova, Matematicko-fyzikální fakulta, 2011 | 3 | 2011 |
Illumination invariants based on Markov random fields P Vácha, M Haindl Pattern Recognition; Recent Advances, 253-272, 2010 | 3 | 2010 |
Content-based tile retrieval system P Vácha, M Haindl Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2010 | 3 | 2010 |