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

Kenji Terabayashi, Toru Morita, Hiroya Okamoto, Kazunori Umeda

Year
2012
Citations
3

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.

Keywords

Computer visionArtificial intelligenceEpipolar geometryComputer scienceFeature (linguistics)Matching (statistics)Fish <Actinopterygii>Mobile robotImage (mathematics)Robot

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