@article {garbe2003c,
	title = {Estimation of complex motion from thermographic image sequences},
	journal = {SPIE Proc.},
	volume = {5073},
	year = {2003},
	pages = {303--317},
	abstract = {In this contribution a novel technique for computing complexmotion involving heat transport processes will be presented. Theproposed technique is a local gradient based approach, combiningtransport models with motion analysis. It allows for thesimultaneous estimation of both motion and parameter of anunderlying transport model. Since the analysis is based on thermalimage sequences, estimates are computed to a high temporal andspatial resolution, limited only by the resolution and frame rateof the employed IR camera. This novel technique was utilized onexchange processes at the atmosphere/ocean boundary, wheresignificant parameters of heat transfer could be measured and atransport model verified. Using the presented algorithms, surfaceflows as well as convergences and divergences on air-waterinterfaces can be measured accurately. Apart from applications inoceanography and botany, relevant benefits of the proposedtechnique to NDT will be presented. It is possible to compensatefor motion to reach accuracies much better than 1/10th of a pixel.Through the direct estimation of locally resolved diffusivities inmaterials, insights can be gained about defects present. Byestimating not only isotropic diffusion but also the whole matrixof anisotropic diffusion, the technique is highly relevant tomeasurements of composite materials.},
	doi = {10.1117/12.501121},
	author = {Christoph S. Garbe and Hagen Spies and Bernd J{\"a}hne}
}
@article {garbe2003b,
	title = {Estimation of surface flow and net heat flux from infrared image sequences},
	journal = {Journal of Mathematical Imaging and Vision},
	volume = {19},
	number = {3},
	year = {2003},
	pages = {159--174},
	abstract = {The study of dynamical processes at the sea surface interface using infrared image sequence analysis has gained tremendous popularity in recent years. Heat is transferred by similar transport mechanisms as gases relevant to global climatic changes. These similarities lead to the use of infrared cameras to remotely visualize and quantitatively estimate parameters of the underlying processes. Relevant parameters that provide important evidence about the models of air-sea gas transfer are the temperature difference across the thermal sub layer, the probability density function of surface renewal and the flow field at the surface. Being a driving force in air sea interactions, it is of equal importance to measure heat fluxes. In this paper we will present algorithms to measure the above parameters of air-sea gas transfer during night-time and show how to combine physical modeling and quantitative digital image processing algorithms to identify transport models. The image processing routines rely on an extension of optical flow computations to incorporate brightness changes in a total least squares (TLS) framework. Statistical methods are employed to support a model of gas transfer and estimate its parameters. Measurements in a laboratory environment were conducted and results verified with ground truth data gained from traditional measurement techniques.},
	doi = {10.1023/A:1026233919766},
	author = {Christoph S. Garbe and Hagen Spies and Bernd J{\"a}hne}
}
@conference {spies2002e,
	title = {Estimating expansion rates from range data sequences},
	booktitle = {15th International Conference on Vision Interface},
	year = {2002},
	pages = {339 - 346},
	author = {Hagen Spies and John L. Barron}
}
@conference {spies2002,
	title = {Evaluating the range flow motion constraint.},
	booktitle = {ICPR},
	year = {2002},
	pages = {517--},
	author = {Hagen Spies and John L. Barron}
}
