Detail publikace

Simple Single View Scene Calibration

PŘIBYL, B. ZEMČÍK, P.

Originální název

Simple Single View Scene Calibration

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper addresses automatic calibration of images, where the main goal is to extract information about objects and relations in the scene based on the information contained in the image itself. The purpose of such calibration is to enable e.g. determination of object coordinates, measurements of distances or areas between objects in the image, etc. The idea of the presented work is to detect objects in the image whose size is known, e.g. traffic signs in the presented case and exploit their relative sizes and positions in the image to perform the calibration under some assumptions about possible spatial distribution of the objects, e.g. their positioning on a plane in the presented case. The paper describes related work and the method itself, shows and discusses the results and proposes possible extensions.

Klíčová slova

Scene Calibration, Scene Reconstruction, Euclidean Reconstruction, Single View, Automatic Parameters Estimation, Principal Component Analysis

Autoři

PŘIBYL, B.; ZEMČÍK, P.

Rok RIV

2011

Vydáno

22. 8. 2011

Nakladatel

Springer Verlag

Místo

Ghent

ISBN

978-3-642-23686-0

Kniha

Advanced Concepts for Intelligent Vision Systems

Edice

Lecture Notes in Computer Science

ISSN

0302-9743

Periodikum

Lecture Notes in Computer Science

Číslo

6915

Stát

Spolková republika Německo

Strany od

748

Strany do

759

Strany počet

12

URL

http://link.springer.com/chapter/10.1007/978-3-642-23687-7_67

BibTex

@inproceedings{BUT76289,
  author="Bronislav {Přibyl} and Pavel {Zemčík}",
  title="Simple Single View Scene Calibration",
  booktitle="Advanced Concepts for Intelligent Vision Systems",
  year="2011",
  series="Lecture Notes in Computer Science",
  journal="Lecture Notes in Computer Science",
  number="6915",
  pages="748--759",
  publisher="Springer Verlag",
  address="Ghent",
  doi="10.1007/978-3-642-23687-7",
  isbn="978-3-642-23686-0",
  issn="0302-9743",
  url="http://link.springer.com/chapter/10.1007/978-3-642-23687-7_67"
}