Detail publikace

Effects of Environment Model Parametrization on Photogrammetry Reconstruction

KLEČKA, J. BOŠTÍK, O.

Originální název

Effects of Environment Model Parametrization on Photogrammetry Reconstruction

Typ

článek v časopise ve Scopus, Jsc

Jazyk

angličtina

Originální abstrakt

This paper is aimed at a description of effects which have assumptions of specific environment structure on quality of recurrently conducted photogrammetry reconstruction. The theoretical part covers the description of three different assumptions of environment structure and mathematical derivation of two suitable recurrent estimators: one based on Extended Kalman filter and the second one based on Maximum likelihood method. The experimental part is introducing simple virtual environment which is observed by linear camera model and then reconstructed using predefined algorithms and assumptions.

Klíčová slova

Photogrammetry, 3D reconstruction, Multiple view reconstruction, recurrent estimation, maximum likelihood, Extended Kalman filter

Autoři

KLEČKA, J.; BOŠTÍK, O.

Vydáno

26. 6. 2018

Nakladatel

VUT Brno

Místo

Brno, Czech Republic

ISSN

1803-3814

Periodikum

Mendel Journal series

Ročník

2018

Číslo

24

Stát

Česká republika

Strany od

151

Strany do

158

Strany počet

8

URL

https://mendel-journal.org/index.php/mendel/article/view/36/38

BibTex

@article{BUT148487,
  author="Jan {Klečka} and Ondřej {Boštík}",
  title="Effects of Environment Model Parametrization on Photogrammetry Reconstruction",
  journal="Mendel Journal series",
  year="2018",
  volume="2018",
  number="24",
  pages="151--158",
  doi="10.13164/mendel.2018.1.151",
  issn="1803-3814",
  url="https://mendel-journal.org/index.php/mendel/article/view/36/38"
}