• Title/Summary/Keyword: Robot panoramic head

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The Study of Gigapixel Camera Technology and the Stunning High-Resolution Gigapixel Image Created by Utilizing a Robotic Panoramic Head and an Image-Stitching Technique (로봇파노라마헤드와 스티칭 기법을 활용한 기가픽셀 이미지의 생성과 기가픽셀카메라 기술)

  • Choi, Yeon Chan;Moon, Hee Jun;Kim, Dong Young;Ryu, Jae Yun;Shin, Ye Rang;Rim, Cheon-Seog
    • Korean Journal of Optics and Photonics
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    • v.26 no.1
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    • pp.44-53
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    • 2015
  • Since the technology of current image sensors is limited to the megapixel class, it is necessary to use an image-stitching technique to create a gigapixel image from hundreds or thousands of photos taken by a megapixel image sensor. In this paper, we investigate the entire process of gigapixel camera technology employing a robotic panoramic head plus a stitching technique, and analyze the gigapixel camera technologies of Duke University and BAE Systems from the viewpoint of optical design structure. Hopefully this knowledge will lead to a new optical structure for a gigapixel camera. Meanwhile, we also perceive the need for additional image processing to reduce the noise of photos with a background of fog and mist, taken far from the camera lens.

Tele-presence System using Homography-based Camera Tracking Method (호모그래피기반의 카메라 추적기술을 이용한 텔레프레즌스 시스템)

  • Kim, Tae-Hyub;Choi, Yoon-Seok;Nam, Bo-Dam;Hong, Hyun-Ki
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.49 no.3
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    • pp.27-33
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    • 2012
  • Tele-presence and tele-operation techniques are used to build up an immersive scene and control environment for the distant user. This paper presents a novel tele-presence system using the camera tracking based on planar homography. In the first step, the user wears the HMD(head mounted display) with the camera and his/her head motion is estimated. From the panoramic image by the omni-directional camera mounted on the mobile robot, a viewing image by the user is generated and displayed through HMD. The homography of 3D plane with markers is used to obtain the head motion of the user. For the performance evaluation, the camera tracking results by ARToolkit and the homography based method are compared with the really measured positions of the camera.