Publikationen (ohne Studienabschlussarbeiten)

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Preißler, Marc; Schellhorn, Mathias; Hoffmann, Rolf; Notni, Gunther
Integration of an autonomous optical sensor system in the machining area of milling centers. - In: Optical measurement systems for industrial inspection IX, 2015, 95253K, insges. 8 S.

Heist, Stefan; Lutzke, Peter; Dietrich, Patrick; Kühmstedt, Peter; Notni, Gunther
Experimental comparison of laser speckle projection and array projection for high-speed 3D measurements. - In: Optical measurement systems for industrial inspection IX, 2015, 952515, insges. 8 S.

Lutzke, Peter; Heist, Stefan; Kühmstedt, Peter; Kowarschik, Richard; Notni, Gunther
Monte Carlo simulation of three-dimensional measurements of translucent objects. - In: Optical engineering, ISSN 1560-2303, Bd. 54 (2015), 8, S. 084111, insges. 9 S.

https://doi.org/10.1117/1.OE.54.8.084111
Breitbarth, Andreas; Müller, Eric; Kühmstedt, Peter; Notni, Gunther; Denzler, Joachim
Phase unwrapping of fringe images for dynamic 3D measurements without additional pattern projection. - In: Dimensional optical metrology and inspection for practical applications IV, 2015, 948903, insges. 10 S.

Anding, Katharina; Kuritcyn, Petr; Linß, Elske; Latyev, Svjatoslav M.
Significant characteristics in VIS- and IR-spectrum of construction and demolition waste for high-precision supervised classification. - In: OCM 2015 - Optical Characterization of Materials, (2015), S. 161-168

This paper discusses the possibility of automatic classifying of construction and demolition waste (CDW) by using methods of spectral analysis and supervised classifiers. The classification performances in colour images shown, that we have to use additional spectral information to solve the recognition task in a satisfactory manner. Therefore, investigations in visible (VIS) and infrared (IR) spectrum were done for analysing significant characteristics in spectrum, which are useful for automatic classification of C&D aggregates.



http://dx.doi.org/10.5445/KSP/1000044906
Faenger, Bernd; Becker, Felix; Brandl, Michael; Fränzel, Norbert; Fremerey, Max; Köhring, Sebastian; Lawin, Meike; Lutherdt, Stefan; Michaelis, Anne; Weichert, Frank; Schumann, Nikolaus; Graßme, Roland; Kurz, Eduard; Scholle, Hans-Christoph; Zimmermann, Klaus; Augsburg, Klaus; Bergmann, Jean Pierre; Ament, Christoph; Linß, Gerhard; Notni, Gunther
Mobilitätssysteme für Best Ager (50plus): neue Präventionsansätze - Update 2014. - In: Prävention von arbeitsbedingten Gesundheitsgefahren und Erkrankungen, (2015), S. 355-375
Richtiger Name des Verf.: Gunther Notni

Rosenberger, Maik; Fütterer, Richard; Ziegner, Fred; Schellhorn, Mathias
Nearfield sensing and actuation for multispectral imaging systems. - In: 2015 IEEE Sensors Applications Symposium (SAS), ISBN 978-1-4799-6118-4, (2015), insges. 6 S.

http://dx.doi.org/10.1109/SAS.2015.7133573
Trambitckii, Konstantin; Anding, Katharina; Musalimov, Victor; Linß, Gerhard
Colour based fire detection method with temporal intensity variation filtration. - In: 2014 Joint IMEKO TC1-TC7-TC13 Symposium: Measurement Science Behind Safety and Security, (2015), 012038, insges. 6 S.

http://dx.doi.org/10.1088/1742-6596/588/1/012038
Lemanzyk, Thomas; Anding, Katharina; Linß, Gerhard; Rodriguez Hernández, Jorge; Theska, René
Food safety by using machine learning for automatic classification of seeds of the South-American Incanut plant. - In: 2014 Joint IMEKO TC1-TC7-TC13 Symposium: Measurement Science Behind Safety and Security, (2015), 012036, insges. 5 S.

http://dx.doi.org/10.1088/1742-6596/588/1/012036
Kuritcyn, Petr; Anding, Katharina; Linß, Elske; Latyev, Svjatoslav M.
Increasing the safety in recycling of construction and demolition waste by using supervised machine learning. - In: 2014 Joint IMEKO TC1-TC7-TC13 Symposium: Measurement Science Behind Safety and Security, (2015), 012035, insges. 7 S.

http://dx.doi.org/10.1088/1742-6596/588/1/012035