About: Multispectral Texture Mapping for Telepresence and Autonomous Mobile Robotics     Goto   Sponge   NotDistinct   Permalink

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Description
  • The aim of this paper is to describe the data-fusion acquired from a CCD camera and a thermal imager. The fusion is realized by means of spatial data from a TOF camera to ensure ”natural” representation of a robot’s environment; thus, the thermal and CCD camera data are comprised in one stereo image presented to a binocular, head-mounted display. The data acquisition is performed using a sensor head, which is placed on an Orpheus-X3 robot; both the head and the robot were developed by our working group. The head contains five matrix sensors: a pair of CCD cameras, a pair of thermal imagers, and one TOF camera. After the geometrical calibration of each sensor, the positions of the sensors in 6DOFs are computed. The corresponding data from the CCD camera and the thermal imager are subsequently determined via homogeneous and perspective transformations. The result consists in an image containing aligned data from the CCD camera and the thermal imager for each eye. TOF camera calibration and its imp
  • The aim of this paper is to describe the data-fusion acquired from a CCD camera and a thermal imager. The fusion is realized by means of spatial data from a TOF camera to ensure ”natural” representation of a robot’s environment; thus, the thermal and CCD camera data are comprised in one stereo image presented to a binocular, head-mounted display. The data acquisition is performed using a sensor head, which is placed on an Orpheus-X3 robot; both the head and the robot were developed by our working group. The head contains five matrix sensors: a pair of CCD cameras, a pair of thermal imagers, and one TOF camera. After the geometrical calibration of each sensor, the positions of the sensors in 6DOFs are computed. The corresponding data from the CCD camera and the thermal imager are subsequently determined via homogeneous and perspective transformations. The result consists in an image containing aligned data from the CCD camera and the thermal imager for each eye. TOF camera calibration and its imp (en)
Title
  • Multispectral Texture Mapping for Telepresence and Autonomous Mobile Robotics
  • Multispectral Texture Mapping for Telepresence and Autonomous Mobile Robotics (en)
skos:prefLabel
  • Multispectral Texture Mapping for Telepresence and Autonomous Mobile Robotics
  • Multispectral Texture Mapping for Telepresence and Autonomous Mobile Robotics (en)
skos:notation
  • RIV/00216305:26620/14:PU112110!RIV15-TA0-26620___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(TE01020197)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 31125
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26620/14:PU112110
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Data fusion, Sensory head, Range camera, CCD camera, Thermal imager. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [30787D41C6F4]
http://linked.open...v/mistoKonaniAkce
  • Praha
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • 3rd International Conference on Mechanical Engineering and Mechatronics (ICMEM'14)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Burian, František
  • Žalud, Luděk
  • Kocmanová, Petra
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 978-1-927877-05-0
http://localhost/t...ganizacniJednotka
  • 26620
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