bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0380286 |
utime |
20240103201154.2 |
mtime |
20120921235959.9 |
DOI |
10.1007/978-3-642-32436-9_14 |
title
(primary) (eng) |
Analysis of Human Gaze Interactions with Texture and Shape |
specification |
page_count |
12 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0380282 |
ISBN |
978-3-642-32435-2 |
ISSN |
0302-9743 |
title
|
Computational Intelligence for Multimedia Understanding |
page_num |
160-171 |
publisher |
place |
Berlin |
name |
Springer |
year |
2012 |
|
|
keyword |
texture |
keyword |
shape |
keyword |
human gaze |
keyword |
perception |
keyword |
psychophysics |
author
(primary) |
ARLID |
cav_un_auth*0101086 |
name1 |
Filip |
name2 |
Jiří |
full_dept (cz) |
Rozpoznávání obrazu |
full_dept (eng) |
Department of Pattern Recognition |
department (cz) |
RO |
department (eng) |
RO |
institution |
UTIA-B |
full_dept |
Department of Pattern Recognition |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0213290 |
name1 |
Vácha |
name2 |
Pavel |
full_dept (cz) |
Rozpoznávání obrazu |
full_dept |
Department of Pattern Recognition |
department (cz) |
RO |
department |
RO |
institution |
UTIA-B |
full_dept |
Department of Pattern Recognition |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0101093 |
name1 |
Haindl |
name2 |
Michal |
full_dept (cz) |
Rozpoznávání obrazu |
full_dept |
Department of Pattern Recognition |
department (cz) |
RO |
department |
RO |
institution |
UTIA-B |
full_dept |
Department of Pattern Recognition |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
project |
project_id |
ERG 239294 |
agency |
EC |
country |
BE |
|
project |
project_id |
387/2010 |
agency |
CESNET |
country |
CZ |
|
project |
project_id |
409/2011 |
agency |
CESNET |
country |
CZ |
|
project |
project_id |
GA102/08/0593 |
agency |
GA ČR |
ARLID |
cav_un_auth*0239567 |
|
project |
project_id |
GAP103/11/0335 |
agency |
GA ČR |
ARLID |
cav_un_auth*0273627 |
|
abstract
(eng) |
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. |
action |
ARLID |
cav_un_auth*0283201 |
name |
MUSCLE |
place |
Pisa |
dates |
13.12.2011-15.12.2011 |
country |
IT |
|
reportyear |
2013 |
RIV |
BD |
num_of_auth |
3 |
presentation_type |
PR |
permalink |
http://hdl.handle.net/11104/0211029 |
mrcbT16-q |
100 |
mrcbT16-s |
0.314 |
mrcbT16-y |
16.66 |
mrcbT16-x |
0.49 |
mrcbT16-4 |
Q2 |
mrcbT16-E |
Q2 |
arlyear |
2012 |
mrcbU63 |
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 |
|