@inproceedings{ICARCV2016,
  abstract = {Since the advent of thermal imaging, devices with a
                  high optical resolution that use detector arrays to
                  capture the emitted radiance in the thermal infrared
                  range of an entire scene simultaneously have
                  developed as a standard in monitoring energy
                  related. They have had a huge impact on the building
                  industry and in manifacturing, where they are
                  commonly used to monitor proecces that require
                  stable temperature conditions. As beneficial as
                  contactless measurements are, the subsequent
                  localization of points of interest in the
                  environment is often difficult. To overcome this
                  problem we propose a portable system that combines
                  thermal imaging with Augmented Reality (AR). The
                  idea of the approach is to project the gathered
                  temperature information back into the scene to
                  facilitate visual inspection. },
  added-at = {2017-09-19T13:40:53.000+0200},
  address = {Phuket, Thailand},
  author = {Leutert, F. and Borrmann, D. and Schilling, K. and N{\"u}chter, A.},
  biburl = {https://www.bibsonomy.org/bibtex/2a53bfba9ece0a120647262c97f4eb8aa/nuechter76},
  booktitle = {Proceedings of the 14th IEEE International
                  Conference on Control, Automation, Robotics and
                  Vision (ICARCV '16)},
  doi = {10.1109/ICARCV.2016.7838617},
  interhash = {531708ffa002780dbf97fe68c49c1745},
  intrahash = {a53bfba9ece0a120647262c97f4eb8aa},
  keywords = {imported},
  month = {November},
  pages = {1--6},
  timestamp = {2017-09-29T16:01:21.000+0200},
  title = {{Spatial Projection of Thermal Data for Visual Inspection}},
  url = {https://robotik.informatik.uni-wuerzburg.de/telematics/download/icarcv2016.pdf},
  year = 2016
}

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