3D Measurement Using a Fish-Eye Camera Based on EPI Analysis

Author:

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

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.

Publisher

Fuji Technology Press Ltd.

Subject

Electrical and Electronic Engineering,General Computer Science

Reference18 articles.

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3. R. Matsuhisa, S. Ono, H. Kawasaki, A. Banno, and K. Ikeuchi, “Structure from Motion for omnidirectional images using efficient factorization method based on virtual camera rotation,” Proc. of Int. Workshop Computer Vision and Its Application to Image Media Processing, pp. 1-7, 2009.

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