Publication detail

Effects of Environment Model Parametrization on Photogrammetry Reconstruction

KLEČKA, J. BOŠTÍK, O.

Original Title

Effects of Environment Model Parametrization on Photogrammetry Reconstruction

Type

journal article in Scopus

Language

English

Original Abstract

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.

Keywords

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

Authors

KLEČKA, J.; BOŠTÍK, O.

Released

26. 6. 2018

Publisher

VUT Brno

Location

Brno, Czech Republic

ISBN

1803-3814

Periodical

Mendel Journal series

Year of study

2018

Number

24

State

Czech Republic

Pages from

151

Pages to

158

Pages count

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"
}