Publication detail

Effects of Environment Model Parametrization on Photogrammetry Reconstruction

KLEČKA, J. BOŠTÍK, O.

Original Title

Effects of Environment Model Parametrization on Photogrammetry Reconstruction

English Title

Effects of Environment Model Parametrization on Photogrammetry Reconstruction

Type

journal article in Scopus

Language

en

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.

English 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

Released

26.06.2018

Publisher

VUT Brno

Location

Brno, Czech Republic

Pages from

151

Pages to

158

Pages count

8

URL

Documents

BibTex


@article{BUT148487,
  author="Jan {Klečka} and Ondřej {Boštík}",
  title="Effects of Environment Model Parametrization on Photogrammetry Reconstruction",
  annote="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.",
  address="VUT Brno",
  chapter="148487",
  doi="10.13164/mendel.2018.1.151",
  howpublished="online",
  institution="VUT Brno",
  number="24",
  volume="2018",
  year="2018",
  month="june",
  pages="151--158",
  publisher="VUT Brno",
  type="journal article in Scopus"
}