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Authors: Kenta Suzuki ; Fumihiko Sakaue and Jun Sato

Affiliation: Nagoya Institute of Technology, Japan

Keyword(s): 3D Object Recognition, 3D Invariants, Projector-camera Systems, Coded-projection.

Related Ontology Subjects/Areas/Topics: Active and Robot Vision ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Motion, Tracking and Stereo Vision ; Shape Representation and Matching ; Stereo Vision and Structure from Motion

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.

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Paper citation in several formats:
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 (VISIGRAPP 2013) - Volume 2: VISAPP; ISBN 978-989-8565-48-8; ISSN 2184-4321, SciTePress, pages 286-293. DOI: 10.5220/0004289802860293

@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 (VISIGRAPP 2013) - Volume 2: VISAPP},
year={2013},
pages={286-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004289802860293},
isbn={978-989-8565-48-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP
TI - 3D Invariants from Coded Projection without Explicit Correspondences
SN - 978-989-8565-48-8
IS - 2184-4321
AU - Suzuki, K.
AU - Sakaue, F.
AU - Sato, J.
PY - 2013
SP - 286
EP - 293
DO - 10.5220/0004289802860293
PB - SciTePress