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Authors: Elisabetta Binaghi ; Ignazio Gallo ; Chiara Fornasier and Mario Raspanti

Affiliation: Universita' degli Studi dell'Insubria, Italy

ISBN: 972-8865-40-6

ISSN: 2184-4321

Keyword(s): stereo, occlusion, disparity space, neural networks.

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

Abstract: This work aims at defining a new method for matching correspondences in stereoscopic image analysis. The salient aspects of the method are -an explicit representation of occlusions driving the overall matching process and the use of neural adaptive technique in disparity computation. In particular, based on the taxonomy proposed by Scharstein and Szelinsky, the dense stereo matching process has been divided into three tasks: matching cost computation, aggregation of local evidence and computation of disparity values. Within the second phase a new strategy has been introduced in an attempt to improve reliability in computing disparity. An experiment was conducted to evaluate the solutions proposed. The experiment is based on an analysis of test images including data with a ground truth disparity map.

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Paper citation in several formats:
Binaghi, E.; Gallo, I.; Fornasier, C. and Raspanti, M. (2006). GROWING AGGREGATION ALGORITHM FOR DENSE TWO-FRAME STEREO CORRESPONDENCE.In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 972-8865-40-6, pages 326-332. DOI: 10.5220/0001362203260332

@conference{visapp06,
author={Elisabetta Binaghi and Ignazio Gallo and Chiara Fornasier and Mario Raspanti},
title={GROWING AGGREGATION ALGORITHM FOR DENSE TWO-FRAME STEREO CORRESPONDENCE},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2006},
pages={326-332},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001362203260332},
isbn={972-8865-40-6},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - GROWING AGGREGATION ALGORITHM FOR DENSE TWO-FRAME STEREO CORRESPONDENCE
SN - 972-8865-40-6
AU - Binaghi, E.
AU - Gallo, I.
AU - Fornasier, C.
AU - Raspanti, M.
PY - 2006
SP - 326
EP - 332
DO - 10.5220/0001362203260332

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