@techreport {Jehle2011,
	title = {Applying Variable Selection to Illumination-Series Data using the Ilastik Tool},
	year = {2011},
	institution = {Heidelberg Collaboratory for Image Processing, University of Heidelberg},
	author = {Markus Jehle}
}
@techreport {Jehle2011a,
	title = {HCI{\textquoteright}s Parabolic Lighting Facility - Design and Usage},
	year = {2011},
	institution = {Heidelberg Collaboratory for Image Processing, University of Heidelberg},
	author = {Markus Jehle}
}
@conference {jehle2010,
	title = {Learning of optimal illumination for material classification},
	booktitle = {Pattern Recognition},
	volume = {6376},
	year = {2010},
	pages = {563--572},
	publisher = {Springer},
	organization = {Springer},
	abstract = {We present a method to classify materials in illumination series data. An illumination series is acquired using a device which is capable to generate arbitrary lighting environments covering nearly the whole space of the upper hemisphere. The individual images of the illumination series span a high-dimensional feature space. Using a random forest classifier different materials, which vary in appearance (which itself depends on the patterns of incoming illumination), can be distinguished reliably. The associated Gini feature importance allows for determining the features which are most relevant for the classification result. By linking the features to illumination patterns a proposition about optimal lighting for defect detection can be made, which yields valuable information for the selection and placement of light sources.},
	doi = {10.1007/978-3-642-15986-2_57},
	author = {Markus Jehle and Christoph Sommer and Bernd J{\"a}hne},
	editor = {Goesele, Michael and Roth, Stefan and Schiele, Bernt and Schindler, Konrad and Kuijper, Arjan}
}
@conference {jehle_10_learning,
	title = {Learning of Optimal Illumination for Material Classification},
	booktitle = {Proceedings of the 32nd DAGM Symposium on Pattern Recognition, Darmstadt, Germany},
	number = {6376/2010},
	year = {2010},
	note = {1},
	pages = {563-572},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-642-15986-2_57},
	author = {Markus Jehle and Christoph Sommer and Bernd J{\"a}hne},
	editor = {Goesele, M. and Roth, S. and Schiele, B. and Schindler, K. and Kuijper, A.}
}
@conference {jehle_10_optimal,
	title = {Optimal Lighting for Defect Detection: Illumination Systems, Machine
Learning, and Practical Verification},
	booktitle = {Forum Bildverarbeitung, Regensburg, 02.-03.12.2010},
	year = {2010},
	note = {1},
	pages = {301-312},
	publisher = {KIT SCientific Publishing},
	organization = {KIT SCientific Publishing},
	author = {Markus Jehle and Bernd J{\"a}hne},
	editor = {F. Puente Leon and Heinzmann, M.}
}
@conference {jehle2010a,
	title = {Optimal lighting for defect detection: illumination systems, machine learning, and practical verification},
	booktitle = {Forum Bildverarbeitung},
	year = {2010},
	pages = {241--252},
	publisher = {KIT Scientific Publishing},
	organization = {KIT Scientific Publishing},
	url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000020266},
	author = {Markus Jehle and Bernd J{\"a}hne},
	editor = {F. Puente Leon and M. Heizmann}
}
@incollection {garbe2009,
	title = {Spatiotemporal image analysis for flow measurements},
	volume = {106},
	year = {2009},
	pages = {289--305},
	publisher = {Springer},
	abstract = {In this chapter, a framework will be presented for measuring and modeling transport processes using novel visualization techniques and extended optical flow techniques for digital image sequence analysis. In this way, parameters besides the 2-D xy velocity components can be extracted concurrently from the acquired 2-D image sequences, such as wall shear rates and momentum transport close to boundaries, diffusion coefficients, and depth z in addition to the z velocity components. Depending on the application, particularly the temporal regularization can be enhanced, leading to stabilization of results and reduction of spatial regularization. This is frequently of high importance for flows close to boundaries. Results from applications will be presented from the fields of environmental and life sciences as well as from engineering.},
	doi = {10.1007/978-3-642-01106-1_29},
	author = {Christoph S. Garbe and Daniel Kondermann and Markus Jehle and Bernd J{\"a}hne},
	editor = {W. Nitsche and C. Dobriloff}
}
@article {jehle2008,
	title = {A novel method for three-dimensional three-component analysis of flow close to free water surfaces},
	journal = {Exp. Fluids},
	volume = {44},
	year = {2008},
	pages = {469--480},
	abstract = {Initial effort is made to establish a new technique for the measurement of three-dimensional three-component (3D3C) velocity fields close to free water surfaces. A fluid volume is illuminated by light emitting diodes (LEDs) perpendicularly to the surface. Small spherical particles are added to the fluid, functioning as a tracer. A monochromatic camera pointing to the water surface from above records the image sequences. The distance of the spheres to the surface is coded by means of a supplemented dye, which absorbs the light of the LEDs according to Beer-Lambert{\textquoteright}s law. By applying LEDs with two different wavelengths, it is possible to use particles variable in size. The velocity vectors are obtained by using an extension of the method of optical flow. The vertical velocity component is computed from the temporal brightness change. The setup is validated with a laminar falling film, which serves as a reference flow. Moreover, the method is applied to buoyant convective turbulence as an example for a non stationary, inherently 3D flow.},
	doi = {10.1007/s00348-007-0453-5},
	author = {Markus Jehle and Bernd J{\"a}hne}
}
@article {schmidt2008a,
	title = {Range flow estimation based on photonic mixing device data},
	journal = {Int. J. Intelligent Systems Technologies and Applications},
	volume = {5},
	year = {2008},
	pages = {380--392},
	abstract = {We present techniques for computing 3D velocity fields from range data acquired with cameras working on the principles of modulation based Time-Of-Flight measurement. We derive a new variant of the range flow constraint equation that directly incorporates the transformation from sensor to world coordinate system. The presented techniques are applied to a number of range sequences with ground truth and the acquired motion estimation results are discussed.},
	doi = {10.1504/IJISTA.2008.021301},
	author = {Schmidt, Martin and Markus Jehle and Bernd J{\"a}hne}
}
@incollection {jaehne2007d,
	title = {Data analysis},
	year = {2007},
	pages = {1437--1491},
	publisher = {Springer},
	chapter = {25},
	abstract = {From the beginning of science, visual observation has played a major role. At that time, the only way to document the results of an experiment was by verbal description and manual drawings. The next major step was the invention of photography more than one and a half centuries ago, which enabled experimental results to be documented objectively. In experimental fluid mechanics, flow visualization techniques gave direct insight into complex flows, but it was very difficult and time consuming to extract quantitative measurements from photographs and films. Nowadays, we are in the middle of a second revolution sparked by the rapid progress in both photonics and computer technology. Sensitive solid-state cameras are available that acquire digital image data, and standard personal computers and workstations have become powerful enough to process these data. These technologies are now available to any scientist or engineer. As a consequence, image processing has expanded and continues to expand rapidly from a few specialized applications into a standard scientific tool. This chapter gives a brief presentation of some of the most important general image processing techniques that are required to process image data in experimental fluid mechanics. The second section (Sect. 25.2) deals with motion analysis. The most important methods are introduced and classified according to the fundamental principles, assumptions and approximations upon which they are based.},
	doi = {10.1007/978-3-540-30299-5_25},
	author = {Bernd J{\"a}hne and Michael Klar and Markus Jehle},
	editor = {C. Tropea and J. Foss and A. Yarin}
}
@conference {schmidt2007,
	title = {Range flow estimation based on photonic mixing device data},
	booktitle = {Proc.\ Dyn3D Workshop, Heidelberg, Sept. 11, 2007},
	year = {2007},
	publisher = {ZESS, Univ.\ Siegen},
	organization = {ZESS, Univ.\ Siegen},
	author = {Schmidt, Martin and Markus Jehle and Bernd J{\"a}hne}
}
@conference {jehle2006c,
	title = {Direct estimation of the wall shear rate using parametric motion models in 3D},
	booktitle = {Proceedings of the 28th DAGM Symposium on Pattern Recognition},
	volume = {4174},
	year = {2006},
	pages = {434--443},
	abstract = {We present a new optical-flow-based technique to estimate the wall shear rate using a special illumination technique that makes the brightness of particles dependent on the distance from the wall. The wall shear rate is derived directly (that means, without previous calculation of the velocity vector field) from two of the components of the velocity gradient tensor which in turn describes the kinematics of fluid flows up to the first order. By incorporating this into a total least squares framework, we can apply a further extension of the structure tensor technique. Results obtained both from synthetical and real data are shown, and reveal a substantial improvement compared to conventional techniques.},
	issn = {0302-9743},
	doi = {10.1007/11861898_44},
	author = {Markus Jehle and Bernd J{\"a}hne and U. Kertzscher}
}
@conference {jehle2006a,
	title = {Eine neuartige Methode zur raumzeitlichen Analyse von Str{\"o}mungen in Grenzschichten},
	booktitle = {Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006},
	year = {2006},
	publisher = {Deutsche Physikalische Gesellschaft},
	organization = {Deutsche Physikalische Gesellschaft},
	url = {http://www.dpg-verhandlungen.de/2006/heidelberg/up.html},
	author = {Markus Jehle and Bernd J{\"a}hne}
}
@conference {jehle2006b,
	title = {A novel method for spatio-temporal analysis of flows within the water-side viscous boundary layer},
	booktitle = {12th Intern. Symp. on Flow Visualization, G{\"o}ttingen, 10--14. September 2006},
	year = {2006},
	doi = {10.5281/zenodo.14845},
	author = {Markus Jehle and Bernd J{\"a}hne}
}
@phdthesis {jehle2006,
	title = {Spatio-temporal analysis of flows close to water surfaces},
	year = {2006},
	publisher = {IWR, Fakult{\"a}t f{\"u}r Physik und Astronomie, Univ.\ Heidelberg},
	abstract = {In order to examine the air-water gas exchange, a detailed knowledge is needed about the flow field within and beneath the water-side viscous boundary layer. Therefore a novel measurement technique is developed for the spatio-temporal analysis of flows close to free water surfaces. A fluid volume is illuminated by LEDs. Small spherical particles are added to the fluid, functioning as a tracer. A camera pointing to the water surface from above records the image sequences. The distance of the spheres to the surface is coded by means of a supplemented dye, which absorbs the light of the LEDs. By using LEDs flashing with two different wavelengths, it is possible to use particles variable in size. The velocity vectors are obtained by using an extension of the method of optical flow. The vertical velocity component is computed from the temporal change of brightness. Using 3D parametric motion models the shear stress at surfaces can be estimated directly, without previous calculation of the vector fields. Hardware and algorithmics are tested in several ways: A laminar falling film serves as reference flow. The predicted parabolic profile of this stationary flow can be reproduced very well. Buoyant convective turbulence acts as an example for an instationary inherently 3D flow. The direct estimation of the wall shear rate is applied to sequences recorded in the context of biofluidmechanics, revealing a substantial improvement compared to conventional techniques.},
	url = {http://www.ub.uni-heidelberg.de/archiv/7060/},
	author = {Markus Jehle}
}
@conference {klar2004a,
	title = {Analysis of subsurface gravel layer flow caused by turbulent open-channel flow using 3D PTV and pressure sensor techniques},
	booktitle = {BAW-Workshop Soil and Bed Stability - Interaction Effects between Geotechnics and Hydraulic Engineering},
	year = {2004},
	author = {Michael Klar and Markus Jehle and Bernd J{\"a}hne and Detert, M. and Jirka G. H.}
}
@conference {jehle2004,
	title = {Bewegungsdetektion und Geschwindigkeitsanalyse in Bildfolgen zur Untersuchung von Sedimentverlagerungen},
	booktitle = {Mitteilungen des Instituts f{\"u}r Grundbau und Bodenmechanik},
	volume = {77},
	year = {2004},
	pages = {371-392},
	author = {Markus Jehle and Michael Klar and H.-J. K{\"o}hler and Heibaum, M.}
}
@conference {detert2004,
	title = {Pressure fluctuations within subsurface gravel bed caused by turbulent open-channel flow},
	booktitle = {Proc. of River Flow 2004},
	year = {2004},
	pages = {695-701},
	publisher = {A. A. Balkema Publishers},
	organization = {A. A. Balkema Publishers},
	author = {Detert, M. and G. H. Jirka and Markus Jehle and Michael Klar and Bernd J{\"a}hne and H.-J. K{\"o}hler and Wenka, T.}
}
@conference {klar2004c,
	title = {Simultaneous 3D PTV and micro-pressure sensor equipment for flow analysis in subsurface gravel layer},
	booktitle = {Proc. of River Flow 2004},
	year = {2004},
	pages = {703--712},
	publisher = {A. A. Balkema Publishers},
	organization = {A. A. Balkema Publishers},
	author = {Michael Klar and Markus Jehle and Detert, M. and G. H. Jirka and Bernd J{\"a}hne and H.-J. K{\"o}hler and Wenka, T.}
}
