bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0410900 |
utime |
20240103182247.4 |
mtime |
20060210235959.9 |
title
(primary) (eng) |
Rigorous quality assessment of 3D object reconstruction for an arbitrary configuration of control points |
part_num |
2 |
part_title |
Part 3B. |
publisher |
place |
Graz |
name |
University of Technology |
pub_time |
2002 |
|
specification |
|
serial |
title
|
Proceedings of the ISPRS Commission III Symposium Photogrammetric Computer Vision |
page_num |
263-266 |
editor |
|
editor |
|
|
keyword |
reconstruction |
keyword |
rectification |
keyword |
transformation |
author
(primary) |
ARLID |
cav_un_auth*0101199 |
name1 |
Soukup |
name2 |
Lubomír |
institution |
UTIA-B |
full_dept |
Department of Image Processing |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
COSATI |
12B |
cas_special |
project |
project_id |
KSK1019101 |
agency |
GA AV ČR |
ARLID |
cav_un_auth*0000219 |
|
research |
CEZ:AV0Z1075907 |
abstract
(eng) |
3D object reconstruction that is based on an overdetermined set of control points is considered in this contribution. The crucial difficulty of quality assessment of 3D reconstruction is nonlinearity of the fundamental equations that describes relationship between coordinates of corresponding points in image and reality. Solution of this difficulty is the main objective of this contribution. The result is in form of probability distribution of estimated parameters obtained by Bayesian inference. |
action |
ARLID |
cav_un_auth*0212953 |
name |
Photogrammetric Computer Vision 2002 |
place |
Graz |
country |
AT |
dates |
09.09.2002-13.09.2002 |
|
RIV |
BB |
department |
ZOI |
permalink |
http://hdl.handle.net/11104/0130987 |
ID_orig |
UTIA-B 20020114 |
arlyear |
2002 |
mrcbU10 |
2002 |
mrcbU10 |
Graz University of Technology |
mrcbU63 |
Proceedings of the ISPRS Commission III Symposium Photogrammetric Computer Vision 263 266 |
mrcbU67 |
Kalliany R. 340 |
mrcbU67 |
Leberl F. 340 |
|