Recovery of 3-D Road Plane Based on 2-D Perspective Image Analysis and Processing

Juping YANG; Shinji OZAWA

Recovery of 3-D Road Plane Based on 2-D Perspective Image Analysis and Processing

Juping YANG, Shinji OZAWA

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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

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Type of Manuscript: Special Section PAPER (Special Section on Digital Signal Processing)

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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://globals.ieice.org/en_transactions/fundamentals/10.1587/e79-a_8_1188/_p

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@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},}

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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 -