project |
project_id |
GA102/08/0593 |
agency |
GA ČR |
ARLID |
cav_un_auth*0239567 |
|
project |
project_id |
378 |
agency |
CESNET |
country |
CZ |
|
project |
project_id |
409 |
agency |
CESNET |
country |
CZ |
|
project |
project_id |
EC Marie Curie ERG 239294 |
agency |
Evropska komise |
country |
BE |
|
project |
project_id |
GAP103/11/0335 |
agency |
GA ČR |
ARLID |
cav_un_auth*0273627 |
|
abstract
(eng) |
Capturing appearance of material with respect to illumination and viewing directions is crucial to achieve realistic visual experience in virtual environments. The capturing process is time demanding or requires a specific shape of the captured material. Therefore, we propose a method of such a data reconstruction from very sparse measurements, whose placement allows for continuous and fast acquisition, from which can benefit future acquisition setups. The proposed approach was tested on a number of view- and illumination- dependent samples and showed a promising performance in terms of whole data-space reconstruction speed and visual quality. |
action |
ARLID |
cav_un_auth*0286081 |
name |
ICPR 2012 - The 21st International Conference on Pattern Recognition |
place |
Tsukuba |
dates |
11.11.2012-15.11.2012 |
country |
JP |
|
reportyear |
2013 |
RIV |
BD |
num_of_auth |
1 |
presentation_type |
PO |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0007449 |
arlyear |
2012 |
mrcbU56 |
2MB |
mrcbU63 |
cav_un_epca*0384215 Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) 978-1-4673-2216-4 1391 1394 Piscataway IEEE Press 2012 IEEE Catalog Number : CFP12182-USB |