0397628 20240903204332.920140107235959.9 1 s. P cav_un_epca*02904900926-49819595 (2013)9-9European Research Consortium for Informatics and Mathematics image understanding visual information recognition cav_un_auth*0101093 Haindl Michal Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0021087 Kittler J. GB http://library.utia.cas.cz/separaty/2013/RO/haindl-0397628.pdf LG11009 GA MŠk CZ cav_un_auth*0271559 Vision is the most important sense on which the majority of organisms depend for life. Scene reflectance properties in various spectral bands provide invaluable information about an object’s characteristics, including its shape, material, temperature, illumination and dynamism. This information, however, is very difficult to capture with an electronic device. A real visual scene to be captured is subject to variable illumination as well as variable observation conditions. Furthermore, single objects of interest can be partially occluded or shaded, may be positioned at various distances from the capturing device, data can be noisy and / or incomplete; thus successful interpretation of imaging sensor data requires sophisticated and complex analytical methods and computing power. 2014 BD 2 RVO:67985556 http://hdl.handle.net/11104/0228615 2013 cav_un_epca*0290490 ERCIM News 0926-4981 1564-0094 Roč. 95 č. 95 2013 9 9 European Research Consortium for Informatics and Mathematics