loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Mingxing Hu 1 ; Karen McMenemy 1 ; Stuart Ferguson 1 ; Gordon Dodds 1 and Baozong Yuan 2

Affiliations: 1 Virtual Engineering Centre, Queen’s University Belfast, United Kingdom ; 2 Institute of Information Science, Beijing Jiaotong University, China

ISBN: 972-8865-30-9

Keyword(s): Trifocal tensor, evolutionary agent, survival-of-finite-fittest, trilinear constraint, robust estimation.

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

Abstract: In this paper we present a new method for the robust estimation of the trifocal tensor, from a series of medical images, using finite-multiple evolutionary agents. Each agent denotes a subset of matching points for parameter estimation, and the dataset of correspondences is considered as the environment in which the agents inhabit, evolve and execute some evolutionary behavior. Survival-of-finite-fitness rule is employed to keep the dramatic increase of new agents within limits, and reduce the chance of reproducing unfit ones. Experiments show that our approach performs better than the typical methods in terms of accuracy and speed, and is robust to noise and outliers even when a large number of outliers are involved.

PDF ImageFull Text

Download
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 54.242.193.41

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:
Hu M.; McMenemy K.; Ferguson S.; Dodds G.; Yuan B. and (2005). MULTIPLE VIEW GEOMETRY ESTIMATION BASED ON FINITE-MULTIPLE EVOLUTIONARY AGENTS FOR MEDICAL IMAGES.In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 972-8865-30-9, pages 202-209. DOI: 10.5220/0001169802020209

@conference{icinco05,
author={Mingxing Hu and Karen McMenemy and Stuart Ferguson and Gordon Dodds and Baozong Yuan},
title={MULTIPLE VIEW GEOMETRY ESTIMATION BASED ON FINITE-MULTIPLE EVOLUTIONARY AGENTS FOR MEDICAL IMAGES},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2005},
pages={202-209},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001169802020209},
isbn={972-8865-30-9},
}

TY - CONF

JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - MULTIPLE VIEW GEOMETRY ESTIMATION BASED ON FINITE-MULTIPLE EVOLUTIONARY AGENTS FOR MEDICAL IMAGES
SN - 972-8865-30-9
AU - Hu, M.
AU - McMenemy, K.
AU - Ferguson, S.
AU - Dodds, G.
AU - Yuan, B.
PY - 2005
SP - 202
EP - 209
DO - 10.5220/0001169802020209

Login or register to post comments.

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