• Title/Summary/Keyword: Omnidirectional stereo image

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Single Camera Omnidirectional Stereo Imaging System (단일 카메라 전방향 스테레오 영상 시스템)

  • Yi, Soo-Yeong;Choi, Byung-Wook
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.4
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    • pp.400-405
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    • 2009
  • A new method for the catadioptric omnidirectional stereo vision with single camera is presented in this paper. The proposed method uses a concave lens with a convex mirror. Since the optical part of the proposed method is simple and commercially available, the resultant omnidirectional stereo system becomes versatile and cost-effective. The closed-form solution for 3D distance computation is presented based on the simple optics including the reflection and the reflection of the convex mirror and the concave lens. The compactness of the system and the simplicity of the image processing make the omnidirectional stereo system appropriate for real-time applications such as autonomous navigation of a mobile robot or the object manipulation. In order to verify the feasibility of the proposed method, an experimental prototype is implemented.

Catadioptric Omnidirectional Stereo Imaging System and Reconstruction of 3-dimensional Coordinates (Catadioptric 전방향 스테레오 영상시스템 및 3차원 좌표 복원)

  • Kim, Soon-Cheol;Yi, Soo-Yeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.6
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    • pp.4108-4114
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    • 2015
  • An image acquisition by using an optical mirror is called as a catadioptric method. The catadioptric imaging method is generally used for acquisition of 360-degree all directional visual information in an image. An exemplar omnidirectional optical mirror is the bowl-shaped hyperbolic mirror. In this paper, a single camera omnidirectional stereo imaging method is studied with an additional concave lens. It is possible to obtain 3 dimensional coordinates of environmental objects from the omnidirectional stereo image by matching the stereo image having different view points. The omnidirectional stereo imaging system in this paper is cost-effective and relatively easy for correspondence matching because of consistent camera intrinsic parameters in the stereo image. The parameters of the imaging system are extracted through 3-step calibration and the performance for 3-dimensional coordinates reconstruction is verified through experiments in this paper. Measurable range of the proposed imaging system is also presented by depth-resolution analysis.

Depth Measurement using an Omnidirectional Stereo Vision System with a Single Camera (단일카메라 전방향 스테레오 비전 시스템을 이용한 거리측정)

  • Yi, Soo-Yeong;Kim, Soon-Chul
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.11
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    • pp.955-959
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    • 2013
  • It is possible to obtain an omnidirectional stereo image via a single camera by using a catadioptric approach with a convex mirror and concave lens. In order to measure three-dimensional distance using the imaging system, the optical parameters of the system are required. In this paper, a calibration procedure to extract the parameters of the imaging system is described. Based on the parameters, experiments are carried out to verify the performance of the three-dimensional distance measurement of a single camera omnidirectional stereo imaging system.

2D Map generation Using Omnidirectional Image sensor and Stereo Vision for MobileRobot MAIRO (자율이동로봇MAIRO의 전방향 이미지센서와 스테레오 비전 시스템을 이용한 2차원 지도 생성)

  • Kim, Kyung-Ho;Lee, Hyung-Kyu;Son, Young-Jun;Song, Jae-Keun
    • Proceedings of the KIEE Conference
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    • 2002.11c
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    • pp.495-500
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    • 2002
  • Recently, a service robot industry outstands as an up and coming industry of the next generation. Specially, there are so many research in self-steering movement(SSM). In order to implement SSM, robot must effectively recognize all around, detect objects and make a surrounding map with sensors. So, many robots have a sonar and a infrared sensor, etc. But, in these sensors, We only know informations about between the robot and the object as well as resolution faculty is of inferior quality. In this paper, we will introduce new algorithm that recognizes objects around robot and makes a two dimension surrounding map with a omni-direction vision camera and two stereo vision cameras.

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