@article{ordonezmuller_2016,
  abstract = {Infrared thermography is a widely used technique to measure and portray
	the surface temperature of an object in form of thermal images. Two
	dimensional images, however, have some inherent limitations with
	regard to the fidelity with which they can depict the surface temperature
	of a three dimensional object. In the past two decades, there have
	been several works describing different techniques to generate 3D
	models textured with thermal information using various combinations
	of sensors in order to address some of these limitations. Most of
	these approaches generate 3D thermograms of an object from a single
	perspective with bulky measurement systems and therefore do not address
	problems that arise when scanning objects in a continuous manner
	from multiple perspectives. But reductions in cost, size and weight
	of infrared and depth-sensing cameras as well as a significant increase
	in computational power of personal computers have enabled the development
	of low cost, handheld, real-time 3D thermal imaging systems. This
	article elaborates through a series of experiments on the main factors
	that affect the real-time generation of high fidelity 3D thermograms
	with such a system and demonstrates how taking this factors into
	consideration significantly improves the appearance and fidelity
	of the generated 3D thermogram. Most of the insight gained in this
	article can be transferred to 3D thermal imaging systems based on
	other combination of sensors.},
  author = {Ordonez Müller, Antonio and Kroll, A.},
  doi = {10.1109/JSEN.2016.2621166},
  interhash = {649a5600af4e137b481300147e8d2f18},
  intrahash = {8a1c165cacf1b6646859f1c87b2449ee},
  journal = {IEEE Sensors Journal},
  language = {English},
  month = {February},
  number = 3,
  owner = {duerrbaum},
  pages = {774-783},
  title = {Generating High Fidelity 3D Thermograms with a Handheld Real-time
	Thermal Imaging System},
  url = {http://ieeexplore.ieee.org/document/7676356/},
  volume = 17,
  year = 2017
}