Conference paper

PŘIBYL Bronislav and ZEMČÍK Pavel. Simple Single View Scene Calibration. In: Advanced Concepts for Intelligent Vision Systems. Ghent: Springer Verlag, 2011, pp. 748-759. ISBN 978-3-642-23686-0. ISSN 0302-9743. Available from:
Publication language:english
Original title:Simple Single View Scene Calibration
Title (cs):Jednoduchá kalibrace scény z jednoho snímku
Proceedings:Advanced Concepts for Intelligent Vision Systems
Conference:Advanced Concepts for Intelligent Vision Systems 2011
Series:Lecture Notes in Computer Science
Place:Ghent, BE
Journal:Lecture Notes in Computer Science, No. 6915, DE
Publisher:Springer Verlag
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Scene Calibration, Scene Reconstruction, Euclidean Reconstruction, Single View, Automatic Parameters Estimation, Principal Component Analysis
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.

   author = {Bronislav P{\v{r}}ibyl and Pavel Zem{\v{c}}{\'{i}}k},
   title = {Simple Single View Scene Calibration},
   pages = {748--759},
   booktitle = {Advanced Concepts for Intelligent Vision Systems},
   series = {Lecture Notes in Computer Science},
   journal = {Lecture Notes in Computer Science},
   number = {6915},
   year = {2011},
   location = {Ghent, BE},
   publisher = {Springer Verlag},
   ISBN = {978-3-642-23686-0},
   ISSN = {0302-9743},
   language = {english},
   url = {}

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