• DocumentCode
    254668
  • Title

    A Novel HDR Depth Camera for Real-Time 3D 360° Panoramic Vision

  • Author

    Belbachir, Ahmed Nabil ; Schraml, Stephan ; Mayerhofer, Michael ; Hofstatter, Michael

  • Author_Institution
    Safety & Security Dept., AIT Austrian Inst. of Technol., Vienna, Austria
  • fYear
    2014
  • fDate
    23-28 June 2014
  • Firstpage
    425
  • Lastpage
    432
  • Abstract
    This paper presents a novel 360° High-Dynamic Range (HDR) camera for real-time 3D 360° panoramic computer vision. The camera consists of (1) a pair of bio-inspired dynamic vision line sensors (1024 pixel each) asynchronously generating events at high temporal resolution with on-chip time stamping (1μs resolution), having a high dynamic range and the sparse visual coding of the information, (2) a high-speed mechanical device rotating at up to 10 revolutions per sec (rps) on which the pair of sensor is mounted and (3) a processing unit for the configuration of the detector chip and transmission of its data through a slip ring and a gigabit Ethernet communication to the user. Within this work, we first present the new camera, its individual components and resulting panoramic edge map. In a second step, we developed a method for reconstructing the intensity images out of the event data generated by the sensors. The algorithm maps the recorded panoramic views into gray-level images by using a transform coefficient. In the last part of this work, anaglyph representation and 3D reconstruction results out of the stereo images are shown. The experimental results show the capabilities of the new camera to generate 10 x 3D panoramic views per second in real-time at an image resolution of 5000x1024 pixel and intra-scene dynamic range of more than 120 dB under natural illuminations. The camera potential for 360° depth imaging and mobile computer vision is briefly highlighted.
  • Keywords
    cameras; computer vision; edge detection; image coding; image reconstruction; image resolution; image sensors; local area networks; mobile computing; stereo image processing; 360° high-dynamic range camera; 3D reconstruction; HDR depth camera; anaglyph representation; bio-inspired dynamic vision line sensors; data transmission; depth imaging; detector chip; event data; gigabit Ethernet communication; gray-level images; high-speed mechanical device; image resolution; intensity image reconstruction; intra-scene dynamic range; mobile computer vision; natural illuminations; on-chip time stamping; pixel range; processing unit; real-time 3D 360° panoramic computer vision; real-time 3D 360° panoramic vision; slip ring; sparse visual coding; stereo images; temporal resolution; transform coefficient; Cameras; Detectors; Image reconstruction; Robot sensing systems; Three-dimensional displays; Voltage control; 3D 360° panoramic vision; HDR imaging; dynamic vision sensors; event-driven vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE Conference on
  • Conference_Location
    Columbus, OH
  • Type

    conf

  • DOI
    10.1109/CVPRW.2014.69
  • Filename
    6910017