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Authors: V. Fursov 1 and Ye. Goshin 2

Affiliations: 1 Samara State Aerospace University and Image Processing Systems Institute of the RAS, Russian Federation ; 2 S.P. Korolyov Samara State Aerospace University and Image Processing Systems Institute of the RAS, Russian Federation

Keyword(s): identification, estimation, fundamental matrix, 3d reconstruction, stereo images

Abstract: This paper deals with the problem of the fundamental matrix identification on the basis of corresponding points on stereo images. It is one of the main problems in a scene reconstruction, using stereo images. This problem is commonly solved by the error-adaptive algorithm RANSAC. In this research, this problem is approached in accordance with a conformed identification principle. The method we propose in this paper ensures higher accuracy of the 3D scene reconstruction.

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Paper citation in several formats:
Fursov, V. and Goshin, Y. (2013). Conformed Identification of the Fundamental Matrix in the Problem of a Scene Reconstruction, using Stereo Images. In Proceedings of the 4th International Workshop on Image Mining. Theory and Applications (VISIGRAPP 2013) - IMTA-4; ISBN 978-989-8565-50-1, SciTePress, pages 29-37. DOI: 10.5220/0004393200290037

@conference{imta-413,
author={V. Fursov. and Ye. Goshin.},
title={Conformed Identification of the Fundamental Matrix in the Problem of a Scene Reconstruction, using Stereo Images},
booktitle={Proceedings of the 4th International Workshop on Image Mining. Theory and Applications (VISIGRAPP 2013) - IMTA-4},
year={2013},
pages={29-37},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004393200290037},
isbn={978-989-8565-50-1},
}

TY - CONF

JO - Proceedings of the 4th International Workshop on Image Mining. Theory and Applications (VISIGRAPP 2013) - IMTA-4
TI - Conformed Identification of the Fundamental Matrix in the Problem of a Scene Reconstruction, using Stereo Images
SN - 978-989-8565-50-1
AU - Fursov, V.
AU - Goshin, Y.
PY - 2013
SP - 29
EP - 37
DO - 10.5220/0004393200290037
PB - SciTePress