Mutual Information-Based Texture Spectral Similarity Criterion

0510483 20241106135751.420191106235959.9 85076157924 000582481300023 10.1007/978-3-030-33720-9_23 Mutual Information-Based Texture Spectral Similarity Criterion 13 s. P cav_un_epca*0510482978-3-030-33719-30302-9743Advances in Visual Computing : 14th International Symposium on Visual Computing (ISVC 2019)302-314ChamSpringer2019BebisG.BoyleR.ParvinB.KoracinD. spectral similarity criterion Bidirectional Texture Functions texture mutual information cav_un_auth*0101093 Haindl Michal UTIA-B Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0283206 Havlíček Michal UTIA-B RO RO Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2019/RO/haindl-0510483.pdf GA19-12340S GA ČR CZ cav_un_auth*0376011 Fast novel texture spectral similarity criterion, capable of assessing spectral modeling resemblance of color and Bidirectional Texture Functions (BTF) textures, is presented. The criterion reliably compares the multi-spectral pixel values of two textures, and thus it allows to assist an optimal modeling or acquisition setup development by comparing the original data with its synthetic simulations. The suggested criterion, together with existing alternatives, is extensively tested in a long series of thousands specially designed monotonically degrading experiments moreover, successfully compared on a wide variety of color and BTF textures. cav_un_auth*0382047 International Symposium on Visual Computing (ISVC 2019) /14./ 20191007 20191009 Lake Tahoe US BD 20000 20200 20205 2020 2 4 A sml 4as 20241106135751.3 PR RVO:67985556 http://hdl.handle.net/11104/0302679 S Contract Book Contributor Consent to Publish 20190904 23 3+4 Proceedings Paper Computer Science Artificial Intelligence|Computer Science Software Engineering 2019 Soubory v repozitáři: haindl-0510483-Contract_Book_Contributor_Consent_to_Publish_LNCS_SIP_MH.pdf 85076157924 SCOPUS PUBMED 000582481300023 WOS cav_un_epca*0510482 Advances in Visual Computing : 14th International Symposium on Visual Computing (ISVC 2019) 978-3-030-33719-3 0302-9743 1611-3349 302 314 Cham Springer 2019 Lecture Notes in Computer Science 11844 340 Bebis G. 340 Boyle R. 340 Parvin B. 340 Koracin D.