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      • Department of Electrical and Electronics Engineering
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      Simultaneous extraction of geometry and surface properties of targets using simple infrared sensors

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      Author(s)
      Aytaç, T.
      Barshan, B.
      Date
      2004
      Source Title
      Optical Engineering
      Print ISSN
      0091-3286
      Publisher
      SPIE
      Volume
      43
      Issue
      10
      Pages
      2437 - 2447
      Language
      English
      Type
      Article
      Item Usage Stats
      196
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      200
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      Abstract
      We investigate the use of low-cost infrared (IR) sensors for the simultaneous extraction of geometry and surface properties of commonly encountered features or targets in indoor environments, such as planes, corners, and edges. The intensity measurements obtained from such sensors are highly dependent on the location, geometry, and surface properties of the reflecting target in a way that cannot be represented by a simple analytical relationship, therefore complicating the localization and recognition process. We propose the use of angular intensity scans and present an algorithm to process them to determine the geometry and the surface type of the target and estimate its position. The method is verified experimentally with planes, 90-deg corners, and 90-deg 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 deg, respectively. Taken separately, the geometry and surface type of targets can be correctly classified with rates of 99 and 81%, respectively, which shows 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 IR sensors, when coupled with appropriate processing, can be used to extract substantially more information than that for which such devices are commonly employed. © 2004 Society of Photo-Optical Instrumentation Engineers.
      Keywords
      Feature extraction
      Infrared sensors
      Optical sensing
      Pattern recognition
      Position estimation
      Surface differentiation
      Surface localization
      Target differentiation
      Target localization
      Algorithms
      Edge detection
      Feature extraction
      Infrared imaging
      Object recognition
      Optical sensors
      Scanning
      Surface properties
      Position estimation
      Surface differentiation
      Surface localization
      Target differentiation
      Target localization
      Image sensors
      Permalink
      http://hdl.handle.net/11693/24216
      Published Version (Please cite this version)
      http://dx.doi.org/10.1117/1.1789136
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      • Department of Electrical and Electronics Engineering 4011
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