LOCAL MINIMUM DISTANCE FOR THE DENSE DISPARITY ESTIMATION

Eric Alvernhe; Philippe Montesinos; Stefan Janaqi; Min Tang

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Paper

LOCAL MINIMUM DISTANCE FOR THE DENSE DISPARITY ESTIMATION

Topics: Matching Correspondence and Flow

In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, 341-348, 2006 , Setúbal, Portugal

Authors: Eric Alvernhe ¹ ; Philippe Montesinos ² ; Stefan Janaqi ² and Min Tang ²

Affiliations: ¹ EMA, Lgi2p, France ; ² EMA Lgi2p,+Nanjing university of science and technology, France

Keyword(s): Stereo, Dense disparity map, Partial derivative equations, minimum distance.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Matching Correspondence and Flow ; Motion, Tracking and Stereo Vision

Abstract: This paper presents a new algorithm to solve the problem of dense disparity map estimation in stereo-vision. Our method is an iterative process inspired by variationnal approach. A new criteria is used as the attachment term based on the distance to local minimum of a similarity measure. Our iterative process is heuristic. Nevertheless, we are able to interpret this algorithm presenting both combinatorial and continuous characteristics. The quality and precision of the results obtained by our method both on image benchmarks and real data clearly demonstrate the the validity of this approach.

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Paper citation in several formats:

Alvernhe, E.; Montesinos, P.; Janaqi, S. and Tang, M. (2006). LOCAL MINIMUM DISTANCE FOR THE DENSE DISPARITY ESTIMATION. In Proceedings of the First International Conference on Computer Vision Theory and Applications (VISIGRAPP 2006) - Volume 2: VISAPP; ISBN 972-8865-40-6; ISSN 2184-4321, SciTePress, pages 341-348. DOI: 10.5220/0001369803410348

@conference{visapp06,
author={Eric Alvernhe. and Philippe Montesinos. and Stefan Janaqi. and Min Tang.},
title={LOCAL MINIMUM DISTANCE FOR THE DENSE DISPARITY ESTIMATION},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications (VISIGRAPP 2006) - Volume 2: VISAPP},
year={2006},
pages={341-348},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001369803410348},
isbn={972-8865-40-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications (VISIGRAPP 2006) - Volume 2: VISAPP
TI - LOCAL MINIMUM DISTANCE FOR THE DENSE DISPARITY ESTIMATION
SN - 972-8865-40-6
IS - 2184-4321
AU - Alvernhe, E.
AU - Montesinos, P.
AU - Janaqi, S.
AU - Tang, M.
PY - 2006
SP - 341
EP - 348
DO - 10.5220/0001369803410348
PB - SciTePress