3D RECONSTRUCTION USING PHOTO CONSISTENCY FROM UNCALIBRATED MULTIPLE VIEWS

Heewon Lee, Alper Yilmaz

Abstract

This paper presents a new 3D object shape reconstruction approach, which exploits the homography transform and photo consistency between multiple images. The proposed method eliminates the requirement of dense feature correspondences, camera calibration, and pose estimation. Using planar homography, we generate a set of planes slicing the object to a set of parallel cross-sections in the 3D object space. For each object slice, we check photo consistency based on color observation. This approach in return provides us with the capability for expressing convex and concave parts of the object. We show that the application of our approach to a standard multiple view dataset achieves comparably better performance than competing silhouette based method.

References

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Paper Citation


in Harvard Style

Lee H. and Yilmaz A. (2010). 3D RECONSTRUCTION USING PHOTO CONSISTENCY FROM UNCALIBRATED MULTIPLE VIEWS . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 484-487. DOI: 10.5220/0002850504840487


in Bibtex Style

@conference{visapp10,
author={Heewon Lee and Alper Yilmaz},
title={3D RECONSTRUCTION USING PHOTO CONSISTENCY FROM UNCALIBRATED MULTIPLE VIEWS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={484-487},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002850504840487},
isbn={978-989-674-028-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - 3D RECONSTRUCTION USING PHOTO CONSISTENCY FROM UNCALIBRATED MULTIPLE VIEWS
SN - 978-989-674-028-3
AU - Lee H.
AU - Yilmaz A.
PY - 2010
SP - 484
EP - 487
DO - 10.5220/0002850504840487