| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0431506 |
| utime |
20240111140850.9 |
| mtime |
20141013235959.9 |
| SCOPUS |
84908537475 |
| WOS |
000349552300029 |
| DOI |
10.1109/CVPRW.2014.34 |
| title
(primary) (eng) |
Space-variant image deblurring on smartphones using inertial sensors |
| specification |
| page_count |
2 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0432754 |
| ISBN |
978-1-4799-4309-8 |
| title
|
CVPRW 2014 : Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops 2014 |
| page_num |
191-192 |
| publisher |
| place |
Piscataway |
| name |
IEEE Computer Society |
| year |
2014 |
|
|
| keyword |
space-variant deconvolution |
| keyword |
gyroscopes |
| keyword |
mobile phone |
| author
(primary) |
| ARLID |
cav_un_auth*0289163 |
| name1 |
Šindelář |
| name2 |
Ondřej |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Department of Image Processing |
| department (cz) |
ZOI |
| department (eng) |
ZOI |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101209 |
| name1 |
Šroubek |
| name2 |
Filip |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0274481 |
| name1 |
Milanfar |
| name2 |
P. |
| country |
US |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0289164 |
| project_id |
M100751201 |
| agency |
GA AV ČR |
| country |
CZ |
|
| project |
| ARLID |
cav_un_auth*0292734 |
| project_id |
GA13-29225S |
| agency |
GA ČR |
|
| abstract
(eng) |
We have developed an application on smartphones for space-variant image deblurring. Low-light hand-held photography requires long exposures and leads to space-variant blur degradation. Removing blur without any information about the camera motion is a computationally demanding and unstable process. In this demo system, we use rotational inertial sensors (gyroscopes) to detect the motion trajectory of the camera during exposure and then use it as a base for removing blur from the acquired photographs. The demo is a close-to-real-time deblurring technology, implemented on an Android smartphone. |
| action |
| ARLID |
cav_un_auth*0306066 |
| name |
IEEE Conference on Computer Vision and Pattern Recognition Workshops |
| dates |
23.06.2014-28.06.2014 |
| place |
Columbus |
| country |
US |
|
| RIV |
JD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20206 |
| reportyear |
2015 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0237127 |
| confidential |
S |
| mrcbC83 |
RIV/67985556:_____/14:00431506!RIV15-AV0-67985556 152459944 Doplněněí UT WOS a Scopus |
| mrcbC83 |
RIV/67985556:_____/14:00431506!RIV15-GA0-67985556 152500989 Doplněněí UT WOS a Scopus |
| mrcbC86 |
n.a. Proceedings Paper Computer Science Artificial Intelligence |
| arlyear |
2014 |
| mrcbU14 |
84908537475 SCOPUS |
| mrcbU34 |
000349552300029 WOS |
| mrcbU56 |
pdf |
| mrcbU63 |
cav_un_epca*0432754 CVPRW 2014 : Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops 2014 978-1-4799-4309-8 191 192 Piscataway IEEE Computer Society 2014 |
|