0397628 - ÚTIA 2014 RIV FR eng J - Článek v odborném periodiku
Haindl, Michal - Kittler, J.
Introduction to the Special Theme Image Understanding.
ERCIM News. Roč. 95, č. 95 (2013), s. 9-9. ISSN 0926-4981. E-ISSN 1564-0094
Grant CEP: GA MŠMT(CZ) LG11009
Institucionální podpora: RVO:67985556
Klíčová slova: image understanding * visual information recognition
Kód oboru RIV: BD - Teorie informace
Web výsledku:
http://library.utia.cas.cz/separaty/2013/RO/haindl-0397628.pdf

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.
Trvalý link: http://hdl.handle.net/11104/0228615