loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Lorenzo Sorgi 1 and Andrey Bushnevskiy 2

Affiliations: 1 Technicolor R&I, Germany ; 2 Technicolor and Technicolor R&I, Germany

ISBN: 978-989-758-089-5

Keyword(s): Multicamera Calibration, Pattern Recovery, Partial Calibration Pattern Visibility, Calibration Pattern Occlusion, External Calibration, Calibration Pattern Offset Removal.

Related Ontology Subjects/Areas/Topics: Applications ; Computational Photography ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses ; Pattern Recognition ; Rendering ; Software Engineering

Abstract: Camera calibration is an essential step for most computer vision applications. This task usually requires the consistent detection of a 2D periodic pattern across multiple views and in practice one of the main difficulties is a correct localization of the pattern origin and its orientation in case of partial occlusion. To overcome this problem many calibration tools require a full visibility of the calibration pattern, which is not always possible, especially when a multicamera systems are used. This paper addresses the specific problem of consistent recovery of the calibration pattern, captured by a multicamera systems under the condition of partial occlusion of the calibration object in several (even all) calibration images. The proposed algorithm is structured in two sequential steps aimed at the removal of the rotational and the translational components of the pattern offset transformation, which is essential for a correct calibration. The paper focuses on two common calibration p atterns, the checkerboard grid and the bundle of parallel lines; however, the technique can be easily rearranged in order to cope with other classes of periodic patterns. The algorithm effectiveness has been successfully proven on the simulated data and two real calibration datasets, captured using a fisheye stereo rig. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.210.22.132

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Sorgi, L. and Bushnevskiy, A. (2015). Periodic Patterns Recovery for Multicamera Calibration.In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 62-67. DOI: 10.5220/0005281300620067

@conference{visapp15,
author={Lorenzo Sorgi. and Andrey Bushnevskiy.},
title={Periodic Patterns Recovery for Multicamera Calibration},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={62-67},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005281300620067},
isbn={978-989-758-089-5},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - Periodic Patterns Recovery for Multicamera Calibration
SN - 978-989-758-089-5
AU - Sorgi, L.
AU - Bushnevskiy, A.
PY - 2015
SP - 62
EP - 67
DO - 10.5220/0005281300620067

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.