BTU overview
Faculty 1
Cognitive Material Diagnostics (KogMatD)

PAPERS

[HMT+19]P. Holstein, S. Moeck, C. Tschöpe, F. Duckhorn, P. Kolbe, and M. Hennecke (2019). Monitoring Of Compressor Operations – A Machine Learning Approach. In Proc. International Congress on Sound and Vibration (ICSV26). Accepted.
[TDK+19]C. Tschöpe, F. Duckhorn, P. Kolbe, and P. Holstein (2019). Zustandsüberwachung von Kompressoren mit maschinellem Lernen. In Proc. DACH-Jahrestagung. Accepted.
[TDH+18]C. Tschöpe, F. Duckhorn, M. Huber, W. Meyer, and M. Wolff (2018). A Cognitive User Interface for a Multi-Modal Human-Machine Interaction. In Proc. International Conference on Speech and Computer (SPECOM), pp. 707–717, Springer. Doi: 10.1007/978-3-319-99579-3.
[WTD18]C. Wunderlich, C. Tschöpe, and F. Duckhorn (2018). Advanced Methods in NDE using Machine Learning Approaches. In Proc. AIP Conference Proceedings. Doi: 10.1063/1.5031519.
[MBB18]D. Maurer, Y. C. Ju, M. Breuß, A. Bruhn (2018). Combining Shape from Shading and Stereo: A Joint Variational Method for Estimating Depth, Illumination and Albedo. International Journal of Computer Vision, pp. 1–25. Doi: https://doi.org/10.1007/s11263-018-1079-1.
[TDR+17]C. Tschöpe, F. Duckhorn, C. Richter, P. Blüthgen, and M. Wolff (2017). An Embedded System for Acoustic Pattern Recognition. In Proc. IEEE Sensors Conference. Doi: 10.1109/ICSENS.2017.8234380.
[DHM+17]F. Duckhorn, M. Huber, W. Meyer, O. Jokisch, C. Tschöpe, and M. Wolff (2017). Towards an Autarkic Embedded Cognitive User Interface. In Proc. In Proc. Annual Conference of the International Speech Communication Association (Interspeech), pp. 3435–3436. Doi: 10.21437/Interspeech.2017.
[LDT17]U. Lieske, F. Duckhorn, and C. Tschöpe (2017). Verfahren zur akustischen Detektion von Schadinsekten bei der Getreide- und Saatgutlagerung, In Proc. DGZFP-Jahrestagung. Online: https://www.ndt.net/article/dgzfp2017/papers/p52.pdf, retrieved Mar. 18, 2019.
[TW16]C. Tschöpe and M. Wolff (2016). Mustererkennung in der technischen Diagnose. In Proc. Tagung Technische Diagnostik, pp. 124–125.
[JMB+16]Y. C. Ju, D. Maurer, M. Breuß, A. Bruhn (2016). Direct variational perspective shape from shading with Cartesian depth parametrisation. Perspectives in Shape Analysis. Mathematics and Visualization, pp. 43–72, Springer. Doi: http://dx.doi.org/10.1007/978-3-319-24726-7_3.
[MJB+16]D. Maurer, Y. C. Ju, M. Breuß, A. Bruhn (2016). Combining Shape from Shading and Stereo: A Variational Approach for the Joint Estimation of Depth, Illumination and Albedo. In Proc. British Machine Vision Conference (BMVC), pp. 76.1–76.14. Doi: http://www.bmva.org/bmvc/2016/papers/paper076/paper076.pdf
[TDW+15]C. Tschöpe, F. Duckhorn, M. Wolff, and G. Saeltzer (2015). Estimating Blood Sugar from Voice Samples - A Preliminary Study. In Proc. International Conference on Computational Science and Computational Intelligence (CSCI), pp. 804–805. IEEE Computer Society.
[TDP+15]C. Tschöpe, F. Duckhorn, A. Pietzsch, and U. Lieske (2015). Akustische Mustererkennung zur automatischen Schädlingserkennung. In Proc. DACH-Jahrestagung. Online: https://www.ndt.net/article/dgzfp2015/papers/mi2a4.pdf, retrieved Mar. 18, 2019.
[MJB+15]D. Maurer, Y. C. Ju, M. Breuß, A. Bruhn (2015). An efficient linearisation approach for variational perspective shape from shading. In Proc. German Conference on Pattern Recognition (GCPR), pp. 249–261. Doi: http://dx.doi.org/10.1007/978-3-319-24947-6_20.
[JBB15]Y. C. Ju, M. Breuß, A. Bruhn (2015). Variational perspective shape from shading. In Proc. International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), pp. 538–550. Doi: http://dx.doi.org/10.1007/978-3-319-18461-6_43.
[TWD14]C. Tschöpe, M. Wolff, and F. Duckhorn (2014). Zustandsüberwachung von Magnetventilen anhand der Schaltgeräusche. In Proc. DGZFP-Jahrestagung. Online: http://jt2014.dgzfp.de/portals/jt2014/BB/p67.pdf, retrieved Mar. 18, 2019.
[WTR+13]M. Wolff, C. Tschöpe, R. Römer, and G. Wirsching (2013). Subsymbol-Symbol-Transduktoren In: Proc. Elektronische Sprachsignalverarbeitung (ESSV). P. Wagner, editor, Studientexte zur Sprachkommunikation, vol. 65, pp. 197–204, TUDpress Dresden.
[TWH13]C. Tschöpe, M. Wolff, and R. Hoffmann (2013). Anwendungen der akustischen Musterer-kennung. In Proc. Elektronische Sprachsignalverarbeitung (ESSV), P. Wagner, editor, Studientexte zur Sprachkommunikation, vol. 65, pp. 205–210, TUDpress Dresden.
[WTR13]M. Wolff, C. Tschöpe, and R. Römer. Quo vadis, UASR? (2013) In: D. Mehnert et al., eds., Studientexte zur Sprachkommunikation, vol. 68, pp. 276–285, TUDpress Dresden.
[JTB+13]Y. C. Ju, S. Tozza, M. Breuß, A. Bruhn, A. Kleefeld (2013). Generalised perspective shape from shading with Oren-Nayar reflectance. In Proc. British Machine Vision Conference (BMVC), pp. 42.1–42.11. Doi: http://dx.doi.org/10.5244/C.27.42.
[GJB+13]S. Galliani, Y. C. Ju, M. Breuß, A. Bruhn (2013). Generalised perspective shape from shading in spherical coordinates. In Proc. International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), pp. 222–233. Doi: http://dx.doi.org/10.1007/978-3-642-38267-3_19.
[TW12a]C. Tschöpe and M. Wolff (2012). Processing and evaluation of gear data using statistical classifiers. In CD-ROM Proc. European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS).
[TW12b]C. Tschöpe and M. Wolff (2012). Zur Formulierung von Hidden-Markov-Modellen als endliche Transduktoren. In Proc. Elektronische Sprachsignalverarbeitung (ESSV), M. Wolff, editor, Studientexte zur Sprachkommunikation, vol. 64, pp. 120–128, TUDpress Dresden.
[JBB+12]Y. C. Ju, M. Breuß, A. Bruhn, S. Galliani (2012). Shape from Shading for Rough Surfaces: Analysis of the Oren-Nayar Model. In Proc. British Machine Vision Conference (BMVC), pp. 104.1–140.11, 2012. Doi: http://dx.doi.org/10.5244/C.26.104.
[GBJ12]S. Galliani, M. Breuß, Y. C. Ju (2012). Fast and Robust Surface Normal Integration by a Discrete Eikonal Equation. In Proc. British Machine Vision Conference (BMVC), pp. 106.1–106.11. Doi: http://dx.doi.org/10.5244/C.26.106.
[TWH11]C. Tschöpe, M. Wolff, and R. Hoffmann (2011). Akustische Mustererkennung. In Proc. Jahrestagung für Akustik. Online: http://pub.dega-akustik.de/DAGA_2011/data/articles/000145.pdf, retrieved Mar. 18, 2019.
[BJ11]M. Breuß, Y. C. Ju (2011). Shape from Shading with Specular Highlights: Analysis of the Phong Model. In Proc. IEEE International Conference on Image Processing (ICIP), pp. 9–12. Doi: http://dx.doi.org/10.1109/ICIP.2011.6116732.
[TJD+11]C. Tschöpe, D. Joneit, F. Duckhorn, R. Hoffmann, G. Strecha, and M. Wolff (2011). Sprachsteuerung für Mess- und Prüfgeräte. In DGZFP-Berichtsband BB 127 – CD, Mi.2.C.2.
[TW10]C. Tschöpe and M. Wolff (2010). Instrumentelle Bestimmung der Weichheit von Tissueprodukten. In Proc. Forum Akustische Qualitätssicherung der DGAQS, pp. 3/1–3/3.
[ST10]J. Schreiber and C. Tschöpe (2010). Neue Verfahren der Signaturanalyse zur Zustandsbewertung von Anlagen und Maschinen. In Proc. Leibniz Conference of Advanced Science – Sensorsysteme. Online: https://leibniz-institut.de/Konferenzen/ss2010/schreiber__neue_verfahren_ signaturanalysen.pdf, retrieved Mar. 18, 2019.
[TW09]C. Tschöpe and M. Wolff (2009). Statistical Classifiers for Structural Health Monitoring. IEEE Sensors Journal 9(11):1567–1576.
[KWT09]U. Kordon, M. Wolff, and C. Tschöpe (2009). Mustererkennung für Sensorsignale. In G. Gerlach, editor, Dresdner Beiträge zur Sensorik, vol. 40, pp. 69–78, TUDpress Dresden.
[TWH09a]C. Tschöpe, M. Wolff, and R. Hoffmann (2009). Akustische Mustererkennung für die ZfP. MP Materials Testing, vol. 10/2009, pp. 701–704, Carl Hanser Verlag.
[PCF+09]T. Pusch, C. Cherif, A. Farooq, S. Wittenberg, M. Wolff, R. Hoffmann, and C. Tschöpe (2009). Fehlerfrüherkennung an Textilmaschinen mit Hilfe der Körperschallanalyse. Melliand Textilberichte, vol. 3/2009, pp. 113–115.
[SWD+09]G. Strecha, M. Wolff, F. Duckhorn, S. Wittenberg, and C. Tschöpe (2009). The HMM Synthesis Algorithm of an Embedded Unified Speech Recognizer and Synthesizer. In Proc. Annual Conference of the International Speech Communication Association (Interspeech), pp. 1763–1766.
[TWH09b]C. Tschöpe, M. Wolff, and R. Hoffmann (2009). Automatische Klassifikationsverfahren in der Zustandsüberwachung. In Proc. DGZFP-Berichtsband BB 115-CD, Di.3.B.2.
[WT09]M. Wolff and C. Tschöpe (2009). Pattern Recognition for Sensor Signals. In Proc. IEEE Sen-sors Conference, pp. 665–668.
[TSN+08]C. Tschöpe, E. Schulze, H. Neunübel, M. Wolff, and R. Schubert (2008). Experiments in Acoustic Structural Health Monitoring of Airplane Parts. In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2037–2040.
[PCF+08]T. Pusch, C. Cherif, A. Farooq, S. Wittenberg, R. Hoffmann, and C. Tschöpe (2008). Early fault detection at textile machines with the help of structure-borne sound analysis. Melliand English, vol. 11-12/2008, pp. E144–E145.
[TW08]C. Tschöpe and M. Wolff (2008). Automatische Beurteilung akustischer Signale. In Proc. Forum Akustische Qualitätssicherung der DGAQS, pp. 3/1–3/4.
[TW07]C. Tschöpe and M. Wolff (2007): Automatic Decision Making in SHM using Hidden Markov Models. In Proc. International Conference on Database and Expert Systems Applications (DEXA), pp. 307–311.
[THH05]C. Tschöpe, D. Hirschfeld, and R. Hoffmann (2005). Klassifikation technischer Signale für die Geräuschdiagnose von Maschinen und Bauteilen. In H. Tschöke et al., editors, Motor- und Aggregate-Akustik II, pp. 1–15, expert verlag, Renningen.
[THW+04]C. Tschöpe, D. Hentschel, M. Wolff, M. Eichner, and R. Hoffmann (2004). Classification of Non-Speech Acoustic Signals using Structure Models. In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 5, pp. 653–656.