Recovery of 3-D Road Plane Based on 2-D Perspective Image Analysis and Processing
Summary :
This paper introduces a new method to recover 3-D road plane from its 2-D monocular perspective image. The research is aimed at the reconstruction of depth information from the 2-D visual input in road following and navigation. Planar road model is considered and the road-centered coordinate system which forms slope and turn angles with camera-centered coordinate system is used to describe boundary points on road plane. We develop approaches to find matching points of boundaries of road and to obtain angular parameters thereafter. A way of finding depth of matching points from the perspective images and angular parameters together is proposed. Therefore the 3-D road reconstruction can be replicated without introducing any parameters of inverse perspective.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E79-A No.8 pp.1188-1193
- Publication Date
- 1996/08/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section on Digital Signal Processing)
- Category
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Juping YANG, Shinji OZAWA, "Recovery of 3-D Road Plane Based on 2-D Perspective Image Analysis and Processing" in IEICE TRANSACTIONS on Fundamentals,
vol. E79-A, no. 8, pp. 1188-1193, August 1996, doi: .
Abstract: This paper introduces a new method to recover 3-D road plane from its 2-D monocular perspective image. The research is aimed at the reconstruction of depth information from the 2-D visual input in road following and navigation. Planar road model is considered and the road-centered coordinate system which forms slope and turn angles with camera-centered coordinate system is used to describe boundary points on road plane. We develop approaches to find matching points of boundaries of road and to obtain angular parameters thereafter. A way of finding depth of matching points from the perspective images and angular parameters together is proposed. Therefore the 3-D road reconstruction can be replicated without introducing any parameters of inverse perspective.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e79-a_8_1188/_p
Copy
@ARTICLE{e79-a_8_1188,
author={Juping YANG, Shinji OZAWA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Recovery of 3-D Road Plane Based on 2-D Perspective Image Analysis and Processing},
year={1996},
volume={E79-A},
number={8},
pages={1188-1193},
abstract={This paper introduces a new method to recover 3-D road plane from its 2-D monocular perspective image. The research is aimed at the reconstruction of depth information from the 2-D visual input in road following and navigation. Planar road model is considered and the road-centered coordinate system which forms slope and turn angles with camera-centered coordinate system is used to describe boundary points on road plane. We develop approaches to find matching points of boundaries of road and to obtain angular parameters thereafter. A way of finding depth of matching points from the perspective images and angular parameters together is proposed. Therefore the 3-D road reconstruction can be replicated without introducing any parameters of inverse perspective.},
keywords={},
doi={},
ISSN={},
month={August},}
Copy
TY - JOUR
TI - Recovery of 3-D Road Plane Based on 2-D Perspective Image Analysis and Processing
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1188
EP - 1193
AU - Juping YANG
AU - Shinji OZAWA
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E79-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 1996
AB - This paper introduces a new method to recover 3-D road plane from its 2-D monocular perspective image. The research is aimed at the reconstruction of depth information from the 2-D visual input in road following and navigation. Planar road model is considered and the road-centered coordinate system which forms slope and turn angles with camera-centered coordinate system is used to describe boundary points on road plane. We develop approaches to find matching points of boundaries of road and to obtain angular parameters thereafter. A way of finding depth of matching points from the perspective images and angular parameters together is proposed. Therefore the 3-D road reconstruction can be replicated without introducing any parameters of inverse perspective.
ER -
English
