Publication detail

CAMERA LOCALIZATION USING INCOMPLETE CHESSBOARD PATTERN

ŠOLONY, M. ŽÁK, P. BERAN, V. ŠPANĚL, M.

Original Title

CAMERA LOCALIZATION USING INCOMPLETE CHESSBOARD PATTERN

English Title

CAMERA LOCALIZATION USING INCOMPLETE CHESSBOARD PATTERN

Type

conference paper

Language

en

Original Abstract

This paper introduces the approach for the real-time camera localization by capturing the plane of chessboard pattern. This task has been already solved by several different approaches, but we present the novel method of the chessboard reconstruction from its incomplete image, that enables successful camera localization even if the captured chessboard plane is partially covered by an unknown object. The camera position and orientation is during the processing of the videosequence tracked with the Kalman filter that enables correct localization also in the closeup views on the pattern.

English abstract

This paper introduces the approach for the real-time camera localization by capturing the plane of chessboard pattern. This task has been already solved by several different approaches, but we present the novel method of the chessboard reconstruction from its incomplete image, that enables successful camera localization even if the captured chessboard plane is partially covered by an unknown object. The camera position and orientation is during the processing of the videosequence tracked with the Kalman filter that enables correct localization also in the closeup views on the pattern.

Keywords

Chessboard pattern, Camera localization, Kalman filter, Tracking, Real-time processing.

RIV year

2011

Released

15.07.2011

Publisher

Institute for Systems and Technologies of Information, Control and Communication

Location

Algarve

ISBN

978-989-8425-47-8

Book

VISAPP 2011 - Proceedings of the International Conference on Computer Vision Theory and Application

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

415

Pages to

418

Pages count

4

URL

BibTex


@inproceedings{BUT76475,
  author="Marek {Šolony} and Pavel {Žák} and Vítězslav {Beran} and Michal {Španěl}",
  title="CAMERA LOCALIZATION USING INCOMPLETE CHESSBOARD PATTERN",
  annote="This paper introduces the approach for the real-time camera localization by
capturing the plane of chessboard pattern. This task has been already solved by
several different approaches, but we present the novel method of the chessboard
reconstruction from its incomplete image, that enables successful camera
localization even if the captured chessboard plane is partially covered by an
unknown object. The camera position and orientation is during the processing of
the videosequence tracked with the Kalman filter that enables correct
localization also in the closeup views on the pattern.",
  address="Institute for Systems and Technologies of Information, Control and Communication",
  booktitle="VISAPP 2011 - Proceedings of the International Conference on Computer Vision Theory and Application",
  chapter="76475",
  edition="NEUVEDEN",
  howpublished="online",
  institution="Institute for Systems and Technologies of Information, Control and Communication",
  year="2011",
  month="july",
  pages="415--418",
  publisher="Institute for Systems and Technologies of Information, Control and Communication",
  type="conference paper"
}