ESTIMATION OF CAMERA 3D-POSITION TO MINIMIZE OCCLUSIONS

Oscar Reinoso

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

ESTIMATION OF CAMERA 3D-POSITION TO MINIMIZE OCCLUSIONS

Topics: Image Processing; Vision, Recognition and Reconstruction

In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO, 311-317, 2007 , Angers, France

Author: Oscar Reinoso

Affiliation: Miguel Hernandez University, Spain

Keyword(s): Occlusions, Camera viewpoint, Camera pose, Segmentation.

Related Ontology Subjects/Areas/Topics: Image Processing ; Informatics in Control, Automation and Robotics ; Robotics and Automation ; Vision, Recognition and Reconstruction

Abstract: Occlusions are almost always seen as undesirable singularities that pose difficult challenges to recognition processes of objects which have to be manipulated by a robot. Often, the occlusions are perceived because the viewpoint with which a scene is observed is not adapted. In this paper, a strategy to determine the location, orientation and position, more suitable so that a camera has the best viewpoint to capture a scene composed by several objects is presented. The estimation for the best location of the camera is based on minimizing the zones of occlusion by the analysis of a virtual image sequence in which is represented the virtual projection of the objects. These virtual projections represent the images as if they were captured by a camera with different viewpoints without moving it.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.117.182.179

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:

Reinoso, O. (2007). ESTIMATION OF CAMERA 3D-POSITION TO MINIMIZE OCCLUSIONS. In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO; ISBN 978-972-8865-83-2; ISSN 2184-2809, SciTePress, pages 311-317. DOI: 10.5220/0001646703110317

@conference{icinco07,
author={Oscar Reinoso.},
title={ESTIMATION OF CAMERA 3D-POSITION TO MINIMIZE OCCLUSIONS},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO},
year={2007},
pages={311-317},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001646703110317},
isbn={978-972-8865-83-2},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO
TI - ESTIMATION OF CAMERA 3D-POSITION TO MINIMIZE OCCLUSIONS
SN - 978-972-8865-83-2
IS - 2184-2809
AU - Reinoso, O.
PY - 2007
SP - 311
EP - 317
DO - 10.5220/0001646703110317
PB - SciTePress