Direct Reconstruction of Planar Surfaces by Stereo Vision
Summary :
This paper studies the problem of reconstructing a planar surface from stereo images of multiple feature points that are known to be coplanar in the scene. We present a direct method by applying maximum likelihood estimation based on a statistical model of image noise. The significant fact about our method is that not only the 3-D position of the surface is reconstructed accurately but its reliability is also computed quantitatively. The effectiveness of our method is demonstrated by doing numerical simulation.
- Publication
- IEICE TRANSACTIONS on Information Vol.E78-D No.7 pp.917-922
- Publication Date
- 1995/07/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Image Processing, Computer Graphics and Pattern Recognition
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Yasushi KANAZAWA, Kenichi KANATANI, "Direct Reconstruction of Planar Surfaces by Stereo Vision" in IEICE TRANSACTIONS on Information,
vol. E78-D, no. 7, pp. 917-922, July 1995, doi: .
Abstract: This paper studies the problem of reconstructing a planar surface from stereo images of multiple feature points that are known to be coplanar in the scene. We present a direct method by applying maximum likelihood estimation based on a statistical model of image noise. The significant fact about our method is that not only the 3-D position of the surface is reconstructed accurately but its reliability is also computed quantitatively. The effectiveness of our method is demonstrated by doing numerical simulation.
URL: https://global.ieice.org/en_transactions/information/10.1587/e78-d_7_917/_p
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@ARTICLE{e78-d_7_917,
author={Yasushi KANAZAWA, Kenichi KANATANI, },
journal={IEICE TRANSACTIONS on Information},
title={Direct Reconstruction of Planar Surfaces by Stereo Vision},
year={1995},
volume={E78-D},
number={7},
pages={917-922},
abstract={This paper studies the problem of reconstructing a planar surface from stereo images of multiple feature points that are known to be coplanar in the scene. We present a direct method by applying maximum likelihood estimation based on a statistical model of image noise. The significant fact about our method is that not only the 3-D position of the surface is reconstructed accurately but its reliability is also computed quantitatively. The effectiveness of our method is demonstrated by doing numerical simulation.},
keywords={},
doi={},
ISSN={},
month={July},}
Copy
TY - JOUR
TI - Direct Reconstruction of Planar Surfaces by Stereo Vision
T2 - IEICE TRANSACTIONS on Information
SP - 917
EP - 922
AU - Yasushi KANAZAWA
AU - Kenichi KANATANI
PY - 1995
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E78-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 1995
AB - This paper studies the problem of reconstructing a planar surface from stereo images of multiple feature points that are known to be coplanar in the scene. We present a direct method by applying maximum likelihood estimation based on a statistical model of image noise. The significant fact about our method is that not only the 3-D position of the surface is reconstructed accurately but its reliability is also computed quantitatively. The effectiveness of our method is demonstrated by doing numerical simulation.
ER -
English
