0380286 20240103201154.220120921235959.9 10.1007/978-3-642-32436-9_14 12 s. P cav_un_epca*0380282978-3-642-32435-20302-9743160-171BerlinSpringer2012 texture shape human gaze perception psychophysics cav_un_auth*0101086 Filip Jiří 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*0213290 Vácha Pavel 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*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. http://library.utia.cas.cz/separaty/2012/RO/filip-analysis of human gaze interactions with texture and shape.pdf ERG 239294 EC BE 387/2010 CESNET CZ 409/2011 CESNET CZ GA102/08/0593 GA ČR cav_un_auth*0239567 GAP103/11/0335 GA ČR cav_un_auth*0273627 Understanding of human perception of textured materials is one of the most difficult tasks of computer vision. In this paper we designed a strictly controlled psychophysical experiment with stimuli featuring different combinations of shape, illumination directions and surface texture. Appearance of five tested materials was represented by measured view and illumination dependent Bidirectional Texture Functions. Twelve subjects participated in visual search task - to find which of four identical three dimensional objects had its texture modified. We investigated the effect of shape and texture on subjects’ attention. We are not looking at low level salience, as the task is to make a high level quality judgment. Our results revealed several interesting aspects of human perception of different textured materials and, surface shapes. cav_un_auth*0283201 MUSCLE Pisa 13.12.2011-15.12.2011 IT 2013 BD 3 PR http://hdl.handle.net/11104/0211029 100 0.314 16.66 0.49 Q2 Q2 2012 cav_un_epca*0380282 Computational Intelligence for Multimedia Understanding 978-3-642-32435-2 0302-9743 160 171 Berlin Springer 2012 Lecture Notes in Computer Science 7252