Dr. Christoph S. Garbe Profile

Dr. Christoph S. Garbe

at Ruprecht-Karls-Univ Heidelberg

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Publications (5)

Proceedings Article | 17 September 2019 Open Access

LumiScan technology for automation and quality inspection

Christoph Garbe, Sven Wenzel, Benedikt Karolus

Proceedings Volume 11144, 1114412 (2019) https://doi.org/10.1117/12.2546420

KEYWORDS: Inspection, Sensors, Cameras, Manufacturing, Robotics, Optical sensors, Image processing, Visualization, 3D image processing, Computer aided design

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Proceedings Article | 21 June 2015 Paper

Light-field camera design for high-accuracy depth estimation

M. Diebold, O. Blum, M. Gutsche, S. Wanner, C. Garbe, H. Baker, B. Jähne

Proceedings Volume 9528, 952803 (2015) https://doi.org/10.1117/12.2184845

KEYWORDS: Cameras, Calibration, Imaging systems, Image resolution, Distance measurement, Error analysis, Clouds, 3D image processing, Range imaging, Objectives

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Proceedings Article | 1 April 2003 Paper

Estimation of complex motion from thermographic image sequences

Christoph Garbe, Hagen Spies, Bernd Jaehne

Proceedings Volume 5073, (2003) https://doi.org/10.1117/12.501121

KEYWORDS: Optical flow, Motion estimation, Motion models, Diffusion, Thermography, Image processing, Thermal modeling, Infrared imaging, Machine vision, Computer vision technology

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Proceedings Article | 15 March 2002 Paper

Thermographic measurements on plant leaves

Christoph Garbe, Ulrich Schurr, Bernd Jaehne

Proceedings Volume 4710, (2002) https://doi.org/10.1117/12.459590

KEYWORDS: Thermography, Heat flux, Infrared cameras, Infrared radiation, Infrared imaging, Velocity measurements, Cameras, Temporal resolution, Temperature metrology, Physiology

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Proceedings Article | 15 March 2002 Paper

Measuring important parameters for air-sea heat exchange

Christoph Garbe, Uwe Schimpf, Bernd Jaehne

Proceedings Volume 4710, (2002) https://doi.org/10.1117/12.459564

KEYWORDS: Heat flux, Statistical analysis, Infrared imaging, Infrared cameras, Temperature metrology, Meteorology, Thermal modeling, Cameras, Interfaces, Infrared radiation

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The heat transfer between the ocean and the atmosphere is one of the most important parameters governing the global climate. Important parameters include the heat transfer velocity and the net heat flux as well as parameters of the underlying transport model. However, the net heat flux is hard to measure since processes take place in the thermal boundary layer, that is the topmost layer of the ocean less than 1 mm thick. Current techniques rely on three independent measurements of the constituent fluxes, the sensible heat flux, latent heat flux and radiative flux. They depend on indirect measurements of meteorological parameters and rely on a combination of data from different sensors using a number of heuristic assumptions. High relative errors and the need for long temporal averaging reduce the practicability of these techniques. In this paper a novel technique is presented that circumvents these drawbacks by directly measuring the net heat flux across the air-water interface with a single low-NETD infrared camera. A newly developed digital image processing technique allows to simultaneously estimating the surface velocity field and parameters of the temporal temperature change. In particular, this technique allows estimating the total derivative of the temperature with respect to time from a sequence of infrared images, together with error bounds on the estimates. This derivative can be used to compute the heat flux density and the heat transfer velocity, as well as the probability density function of the underlying surface renewal model. It is also possible to estimate the bulk-skin temperature difference given rise to by the net heat flux. Our technique has been successfully used in both laboratory measurements in the Heidelberg Aeolotron, as well as in field measurements in the equatorial pacific during the NOAA GasExII experiment this spring. The data show that heat flux measurements to an accuracy of better than 5% on a time scale of seconds are feasible.

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