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      • Department of Electrical and Electronics Engineering
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      Simultaneous extraction of geometry and surface properties of targets using infrared intensity signals

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      Author
      Aytaç, Tayfun
      Barshan, Billur
      Date
      2005
      Source Title
      Proceedings of the 13th Signal Processing and Communications Applications Conference, IEEE 2005
      Publisher
      IEEE
      Volume
      2005
      Pages
      522 - 525
      Language
      Turkish
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      We propose the use of angular intensity signals obtained with low-cost infrared sensors and present an algorithm to simultaneously extract the geometry and surface properties of commonly encountered targets in indoor environments. The method is verified experimentally with planes, 90° corners, and 90° edges covered with aluminum, white cloth, and Styrofoam packaging material. An average correct classification rate of 80% of both geometry and surface over all target types is achieved and targets are localized within absolute range and azimuth errors of 1.5 cm and 1.1°, respectively. Taken separately, the geometry and surface type of targets can be correctly classified with rates of 99% and 81%, respectively, indicating that the geometrical properties of the targets are more distinctive than their surface properties, and surface determination is the limiting factor. The method demonstrated shows that simple infrared sensors, when coupled with appropriate signal processing, can be used to extract substantially more information than such devices are commonly employed for.
      Keywords
      Azimuth errors
      Infrared sensors
      Computational geometry
      Infrared radiation
      Measurement errors
      Optical sensors
      Signal filtering and prediction
      Surface properties
      Targets
      Permalink
      http://hdl.handle.net/11693/27295
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2005.1567736
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      • Department of Electrical and Electronics Engineering 3524
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