3D measurement using a fish-eye camera based on EPI analysis

Kenji Terabayashi; Toru Morita; Hiroya Okamoto; Kazunori Umeda

doi:10.20965/jrm.2012.p0677

3D measurement using a fish-eye camera based on EPI analysis

Kenji Terabayashi^*, Toru Morita, Hiroya Okamoto, Kazunori Umeda

^*Corresponding author for this work

Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

In car driving support systems and mobile robots, it is important to understand three-dimensional environment widely at once. In this paper, we use a fish-eye camera as a sensor to measure three-dimensional (3D) environments. This camera can take a wide-range and distortional image and can be easily mounted on cars. We propose a method for reconstructing 3D environment using fish-eye images based on Epipolar-Plane Image (EPI) analysis. This method enables easy and stable matching of feature points. The effectiveness of the proposed method is verified by experiments.

Original language	English
Pages (from-to)	677-685
Number of pages	9
Journal	Journal of Robotics and Mechatronics
Volume	24
Issue number	4
DOIs	https://doi.org/10.20965/jrm.2012.p0677
State	Published - 2012

Keywords

Epipolar-Plane Image (EPI)
Fish-eye lens camera
Three-dimensional (3D) measurement

ASJC Scopus subject areas

General Computer Science
Electrical and Electronic Engineering

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10.20965/jrm.2012.p0677

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title = "3D measurement using a fish-eye camera based on EPI analysis",

abstract = "In car driving support systems and mobile robots, it is important to understand three-dimensional environment widely at once. In this paper, we use a fish-eye camera as a sensor to measure three-dimensional (3D) environments. This camera can take a wide-range and distortional image and can be easily mounted on cars. We propose a method for reconstructing 3D environment using fish-eye images based on Epipolar-Plane Image (EPI) analysis. This method enables easy and stable matching of feature points. The effectiveness of the proposed method is verified by experiments.",

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author = "Kenji Terabayashi and Toru Morita and Hiroya Okamoto and Kazunori Umeda",

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AU - Terabayashi, Kenji

AU - Morita, Toru

AU - Okamoto, Hiroya

AU - Umeda, Kazunori

PY - 2012

Y1 - 2012

N2 - In car driving support systems and mobile robots, it is important to understand three-dimensional environment widely at once. In this paper, we use a fish-eye camera as a sensor to measure three-dimensional (3D) environments. This camera can take a wide-range and distortional image and can be easily mounted on cars. We propose a method for reconstructing 3D environment using fish-eye images based on Epipolar-Plane Image (EPI) analysis. This method enables easy and stable matching of feature points. The effectiveness of the proposed method is verified by experiments.

AB - In car driving support systems and mobile robots, it is important to understand three-dimensional environment widely at once. In this paper, we use a fish-eye camera as a sensor to measure three-dimensional (3D) environments. This camera can take a wide-range and distortional image and can be easily mounted on cars. We propose a method for reconstructing 3D environment using fish-eye images based on Epipolar-Plane Image (EPI) analysis. This method enables easy and stable matching of feature points. The effectiveness of the proposed method is verified by experiments.

KW - Epipolar-Plane Image (EPI)

KW - Fish-eye lens camera

KW - Three-dimensional (3D) measurement

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JO - Journal of Robotics and Mechatronics

JF - Journal of Robotics and Mechatronics

IS - 4

ER -

3D measurement using a fish-eye camera based on EPI analysis

Abstract

Keywords

ASJC Scopus subject areas

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