3D Invariants from Coded Projection without Explicit Correspondences

Kenta Suzuki, Fumihiko Sakaue, Jun Sato

Abstract

In this paper, we propose a method for computing stable 3D features for 3D object recognition. The feature is projective invariant computed from 3D information which is based on disparity of two projectors. In our method, the disparity can be estimated just from image intensity without obtaining any explicit corresponding points. Thus, we do not need any image matching method in order to obtain corresponding points. This means that we can avoid any kind of problems arise from image matching essentially. Therefore, we can compute 3D invariant features from the 3D information reliably. The experimental results show our proposed invariant feature is useful for 3D object recognition.

References

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Paper Citation


in Harvard Style

Suzuki K., Sakaue F. and Sato J. (2013). 3D Invariants from Coded Projection without Explicit Correspondences . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 286-293. DOI: 10.5220/0004289802860293


in Bibtex Style

@conference{visapp13,
author={Kenta Suzuki and Fumihiko Sakaue and Jun Sato},
title={3D Invariants from Coded Projection without Explicit Correspondences},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={286-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004289802860293},
isbn={978-989-8565-48-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - 3D Invariants from Coded Projection without Explicit Correspondences
SN - 978-989-8565-48-8
AU - Suzuki K.
AU - Sakaue F.
AU - Sato J.
PY - 2013
SP - 286
EP - 293
DO - 10.5220/0004289802860293