bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0391429 |
utime |
20240111140829.3 |
mtime |
20130404235959.9 |
DOI |
10.1007/978-3-642-37447-0_38 |
title
(primary) (eng) |
Registration of Multi-view Images of Planar Surfaces |
specification |
page_count |
12 s. |
media_type |
C |
|
serial |
ARLID |
cav_un_epca*0391428 |
ISBN |
978-3-642-37446-3 |
ISSN |
0302-9743 |
title
|
11th Asian Conference on Computer Vision ACCV, Revised Selected Papers |
part_num |
Part IV |
page_num |
497-509 |
publisher |
place |
Berlin |
name |
Springer Berlin Heidelberg |
year |
2013 |
|
|
keyword |
registration |
keyword |
BTF |
keyword |
texture |
keyword |
material |
keyword |
appearance |
keyword |
multi-view |
author
(primary) |
ARLID |
cav_un_auth*0282273 |
name1 |
Vávra |
name2 |
Radomír |
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*0101086 |
name1 |
Filip |
name2 |
Jiří |
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 |
garant |
G |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
project |
project_id |
239294 |
agency |
EC |
country |
BE |
ARLID |
cav_un_auth*0301476 |
|
project |
project_id |
409 |
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) |
This paper presents a novel image-based registration method for high-resolution multi-view images of a planar material surface. Contrary to standard registration approaches, this method aligns images based on a true plane of the material's surface and not on a plane defined by registration marks. It combines the camera calibration and the iterative fitting of desired position and slant of the surface plane, image re-registration, and evaluation of the surface alignment. To optimize image compression performance, we use an error of a compression method as a function evaluating the registration quality. The proposed method shows encouraging results on example visualizations of view- and illumination-dependent textures. In addition to a standard multi-view data registration approach, it provides a better alignment of multi-view images and thus allows more detailed visualization using the same compressed parameterization size. |
action |
ARLID |
cav_un_auth*0290443 |
name |
11th Asian Conference on Computer Vision (ACCV 2012) |
place |
Daejeon |
dates |
05.11.2012-09.11.2012 |
country |
KR |
|
reportyear |
2014 |
RIV |
BD |
num_of_auth |
2 |
presentation_type |
PO |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0220522 |
mrcbT16-q |
100 |
mrcbT16-s |
0.325 |
mrcbT16-y |
16.75 |
mrcbT16-x |
0.51 |
mrcbT16-4 |
Q2 |
mrcbT16-E |
Q3 |
arlyear |
2013 |
mrcbU56 |
hypertextový soubor (PDF) 2MB |
mrcbU63 |
cav_un_epca*0391428 11th Asian Conference on Computer Vision ACCV, Revised Selected Papers Part IV 978-3-642-37446-3 0302-9743 497 509 11th Asian Conference on Computer Vision ACCV, Revised Selected Papers Berlin Springer Berlin Heidelberg 2013 Lecture Notes in Computer Science 7727 |
|