Scene recovery from many randomly distributed single pixel cameras

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper examines two scene recovery problems arising when interpreting data from massive numbers of randomly distributed single pixel cameras. Assuming that the camera positions and orientations are approximately known, the paper shows that both distant and nearby scenes can be reconstructed, and analyzes how recovery performance varies with sensor parameters
Original languageEnglish
Title of host publicationPattern Recognition, 2006. ICPR 2006. 18th International Conference on
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Print)0-7695-2521-0
Publication statusPublished - 2006


  • distributed sensors
  • image reconstruction
  • image sensors
  • distributed sensing
  • randomly distributed single pixel cameras
  • scene reconstruction
  • scene recovery
  • sensor self-organization
  • Calibration
  • Cameras
  • Computed tomography
  • Image reconstruction
  • Image sensors
  • Layout
  • Magnetic resonance imaging
  • Optical sensors
  • Sensor phenomena and characterization
  • Surveillance


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