• DocumentCode
    233626
  • Title

    Graph-based visual sensor deployment and optics optimization

  • Author

    Alarcon-Herrera, Jose ; Chen Xiang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Windsor, Windsor, ON, Canada
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    486
  • Lastpage
    491
  • Abstract
    In this brief, we present a method for automatic deployment of visual sensor networks. The solution is formulated as a greedy search by taking advantage of the topological properties of the vision graph. The optimization of the optical component of the vision system is solved using a geometrical approach. We show that the information about the resolution, focus, and visibility of the vision system can be encoded in the geometry of a square frustum. The frustum is used to model the optimal configuration of the lens. Finally, we make use of experiments to show the effectiveness of our approach.
  • Keywords
    computer vision; geometry; graph theory; greedy algorithms; image sensors; lenses; optimisation; search problems; sensor placement; automatic visual sensor network deployment; computer vision; geometrical approach; graph-based visual sensor deployment; greedy search; optical component optimization; optics optimization; optimal lens configuration; square frustum geometry; topological properties; vision graph; Cameras; Inspection; Lenses; Machine vision; Optimization; Robot vision systems; Visualization; Camera Optimization; Sensor Deployment; Vision-Based Inspection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6896672
  • Filename
    6896672