• DocumentCode
    1081374
  • Title

    Bioinspired Robotic Dual-Camera System for High-Resolution Vision

  • Author

    Tonet, Oliver ; Focacci, Francesco ; Piccigallo, Marco ; Mattei, Lorenza ; Quaglia, Claudio ; Megali, Giuseppe ; Mazzolai, Barbara ; Dario, Paolo

  • Author_Institution
    CRIM Lab., Scuola Superiore Sant´´Anna, Pontedera
  • Volume
    24
  • Issue
    1
  • fYear
    2008
  • Firstpage
    55
  • Lastpage
    64
  • Abstract
    Due to the limited resolution of both cameras and displays, acuity of artificial vision systems is currently well below the human eye. Visual acuity, in cameras as well as in animal eyes, can be increased by making smaller receptors or bigger eyes. In some applications, the size of the camera is constrained, so alternative solutions must be sought. This paper presents a robotic dual-camera vision system whose design is inspired by the visual system of jumping spiders (Salticidae family). The system is composed of a telephoto camera whose field of view (FOV) can be moved within the larger FOV of a wide-angle camera and allows to form a high-resolution image, i.e., an image with the FOV of the wide-angle camera, yet having the same resolution as the telephoto camera. We describe the design of the robotic system, the direct and inverse kinematics, and the image processing algorithms that allow to build the high-resolution image. Images from experiments are presented, together with a discussion on sources of errors and possible solutions. The system is particularly useful for fixed-camera monitoring or teleoperation applications, such as remote surveillance and minimally invasive surgery. The system achieves seven times higher resolution than typical commercial endoscopes.
  • Keywords
    image resolution; robot vision; artificial vision systems; bioinspired robotic dual-camera system; high-resolution vision; image processing algorithms; inverse kinematics; jumping spiders visual system; robotic dual-camera vision system; robotic system design; telephoto camera; Animals; Cameras; Displays; Eyes; Humans; Image resolution; Machine vision; Minimally invasive surgery; Robot vision systems; Visual system; Augmented reality; panoramic stitching; robot vision; scanning mirror;
  • fLanguage
    English
  • Journal_Title
    Robotics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1552-3098
  • Type

    jour

  • DOI
    10.1109/TRO.2008.915430
  • Filename
    4456758