Indexing Method for Three-Dimensional Position Estimation
Summary :
Indexing techniques usually are used in model-based object recognition and ray tracing algorithms. In this paper we present a new method for estimating the three-dimensional position of a subject (resp. object) in a circumscribed space based on an indexing method. We construct two and three-dimensional indices of a space, which are used to estimate the three-dimensional position by an interpolation technique. There are two processes in estimating the three-dimensional position of a subject (resp. object): preprocessing and three-dimensional position estimation. We have implemented this idea using stereo camera, and tested by using two different sizes of a grid pattern. Promising results for preprocessing and 3D position estimation are presented. Moreover, we show that this approach can also be extended for multiple cameras.
- Publication
- IEICE TRANSACTIONS on Information Vol.E82-D No.12 pp.1597-1604
- Publication Date
- 1999/12/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Image Processing,Computer Graphics and Pattern Recognition
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Iris FERMIN, Sudhanshu SEMWAL, Jun OHYA, "Indexing Method for Three-Dimensional Position Estimation" in IEICE TRANSACTIONS on Information,
vol. E82-D, no. 12, pp. 1597-1604, December 1999, doi: .
Abstract: Indexing techniques usually are used in model-based object recognition and ray tracing algorithms. In this paper we present a new method for estimating the three-dimensional position of a subject (resp. object) in a circumscribed space based on an indexing method. We construct two and three-dimensional indices of a space, which are used to estimate the three-dimensional position by an interpolation technique. There are two processes in estimating the three-dimensional position of a subject (resp. object): preprocessing and three-dimensional position estimation. We have implemented this idea using stereo camera, and tested by using two different sizes of a grid pattern. Promising results for preprocessing and 3D position estimation are presented. Moreover, we show that this approach can also be extended for multiple cameras.
URL: https://global.ieice.org/en_transactions/information/10.1587/e82-d_12_1597/_p
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@ARTICLE{e82-d_12_1597,
author={Iris FERMIN, Sudhanshu SEMWAL, Jun OHYA, },
journal={IEICE TRANSACTIONS on Information},
title={Indexing Method for Three-Dimensional Position Estimation},
year={1999},
volume={E82-D},
number={12},
pages={1597-1604},
abstract={Indexing techniques usually are used in model-based object recognition and ray tracing algorithms. In this paper we present a new method for estimating the three-dimensional position of a subject (resp. object) in a circumscribed space based on an indexing method. We construct two and three-dimensional indices of a space, which are used to estimate the three-dimensional position by an interpolation technique. There are two processes in estimating the three-dimensional position of a subject (resp. object): preprocessing and three-dimensional position estimation. We have implemented this idea using stereo camera, and tested by using two different sizes of a grid pattern. Promising results for preprocessing and 3D position estimation are presented. Moreover, we show that this approach can also be extended for multiple cameras.},
keywords={},
doi={},
ISSN={},
month={December},}
Copy
TY - JOUR
TI - Indexing Method for Three-Dimensional Position Estimation
T2 - IEICE TRANSACTIONS on Information
SP - 1597
EP - 1604
AU - Iris FERMIN
AU - Sudhanshu SEMWAL
AU - Jun OHYA
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E82-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 1999
AB - Indexing techniques usually are used in model-based object recognition and ray tracing algorithms. In this paper we present a new method for estimating the three-dimensional position of a subject (resp. object) in a circumscribed space based on an indexing method. We construct two and three-dimensional indices of a space, which are used to estimate the three-dimensional position by an interpolation technique. There are two processes in estimating the three-dimensional position of a subject (resp. object): preprocessing and three-dimensional position estimation. We have implemented this idea using stereo camera, and tested by using two different sizes of a grid pattern. Promising results for preprocessing and 3D position estimation are presented. Moreover, we show that this approach can also be extended for multiple cameras.
ER -
English
