Jean-Luc Bouchot

Research Interests:

• Image Processing
• Similarity Measires (in particular structural ones)
• Computer Vision
• Machine Learning
  • Kernel methods (in particular SVM)
  • SVM with non-psd kernels
• Measure theory

Publications:

• J. Bouchot, J. Himmelbauer, B. Moser. "On autocorrelation based on Hermann Weyl's discrepancy norm for time series analysis",  Proceedings of the IEEE World Congress on Computational Intelligence (WCCI 2010),IEEE. 2010. (pdf)
• Stifter, D., Leiss-Holzinger, E., Heise, B., Bouchot, J., Major, Z., Pircher, M., Götzinger, E., Baumann, B., Hitzenberger, C. K., "Spectral domain polarization sensitive optical coherence tomography at 1.55 µm: novel developments and applications for dynamic studies in materials science" in Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XV, Proceedings of SPIE Vol. 7889 (SPIE, Bellingham, WA 2011) 78890Z. (pdf)
• J. Bouchot, G. Stübl, B. Moser, "A template matching approach based on the discrepancy norm for defect detection on regularly textured surfaces", Proceedings of the SPIE  10th International Conference on Quality Control by Artificial Vision, 28-30 June 2011, Saint Etienne, France. (pdf)
• E. Lughofer, J.-L. Bouchot and A. Shaker, "On-Line Elimination of Local Redundancies in Evolving Fuzzy Systems", Evolving Systems (2011) (pdf)
• B. Moser, G. Stübl and J.-L. Bouchot, "On a Non-Monotonicity Effect of Similarity Measures", Similarity-Based Pattern Recognition (SIMBAD 2011), 46-60, Springer, 2011 (pdf)
• E. Leiss-Holzinger, U. D. Cakmak, B. Heise, J.-L. Bouchot, E. P. Klement, M. Leitner, D. Stifter, Z. Major, "Evaluation of structural change and local strain distribution in polymers comparatively imaged by FFSA and OCT techniques", Express Polymer Letters, 2012. (pdf)
• S. Bernstein, J.-L. Bouchot, M. Reinhardt, B. Heise, "Generalized analytic signals in image processing: Comparison, theory and their applications", accepted to ICCA9, 2012 (preprint)
• G. Stübl, J.-L. Bouchot, P. Haslinger, B. Moser, "Discrepancy norm as fitness for defect for defect detection on regularly textured surfaces", accepted to ÖAGM-DAGM 2012 (preprint)

 
Here is a first draft of my Ph.D. thesis.
Other:

• International Computer Vision Summer School 2010 attendee. Main Topic: REGISTRATION AND VIDEO ANALYSIS Poster presentation on Logo Localization Using the Discrepancy Norm (pdf)
• ENS/INRIA Visual Recognition and Machine Learning Summer School attendee, July 2011
• Mathematics and Image Analysis conference, January 2012, Insitut Henri Poincaré, Paris, France

 
Some other facts:
Visiting Research:

• September 2011: CReSTIC, under the supervision of Frédéric Morain-Nicolier. Working on distance transforms for gray level images.
• February-June 2012 (actually 3 months altogether): Applied Analysis institute of the faculty of mathematics at TU Bergakademie Freiberg under the supervision of Swanhild Bernstein. Working on monogenic represenation for image processing.

Attendee of Stanford online classes: Machine Learning (oct.-dec. 2011), Artificial Intelligence (oct.-dec. 2011)
My Erdös number is 3 through: Me -> Bernhard Moser -> István Joó -> Paul Erdös

• Image Similarity based on the Discrepancy Norm
• CD Labor MS-MACH Christian Doppler Labor for microscopic and spectroscopic material characterization