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Selection of an Optimal Set of Discriminative and Robust Local Features with Application to Traffic Sign Recognition

B. Höferlin, and G. Heidemann. WSCG 2010, 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, (2010)

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Ph. D. Thomas Günther University of Stuttgart

Injection Compression Molding of Nanostructures from Direct Structured PVD Hard CoatingsH. Rühl, T. Günther, and A. Zimmermann. Proceedings of the World Congress on Micro and Nano Manufacturing (WCMNM 2022), page 63-66. Singapore, Research Publishing, (2022)

Prof. Dr. Günther Bien University of Stuttgart

Kerstin Heidemann University of Stuttgart

Dr. Wolfgang Heidemann University of Stuttgart

Hon. -Prof. Dr. rer. nat. Gunther Richter University of Stuttgart

Other publications of authors with the same name

CORVIDAE: Coreference Resolution Visual Development & Analysis Environment.N. Möller, and G. Heidemann. SEMANTiCS (Posters, Demos, SuCCESS), volume 1695 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)The Principal Components of Natural Images Revisited.G. Heidemann. IEEE Trans. Pattern Anal. Mach. Intell., 28 (5): 822-826 (2006)Data Compression - A Generic Principle of Pattern Recognition?G. Heidemann, and H. Ritter. VISIGRAPP (Selected Papers), volume 24 of Communications in Computer and Information Science, page 202-212. Springer, (2008)Quasi View-Independent Human Motion Recognition in Subspaces.P. Tanisaro, F. Mahner, and G. Heidemann. ICMLC, page 278-283. ACM, (2017)Redundant Dictionary Spaces as a General Concept for the Analysis of Non-vectorial Data.S. Klenk, J. Dippon, A. Burkovski, and G. Heidemann. ICDM, volume 7377 of Lecture Notes in Computer Science, page 243-257. Springer, (2012)Efficient annotation of image data sets for computer vision applications.J. Moehrmann, and G. Heidemann. VIGTA@AVI, page 2. ACM, (2012)Bio-Inspired Architecture for Deriving 3D Models from Video Sequences.J. Schöning, and G. Heidemann. ACCV Workshops (2), volume 10117 of Lecture Notes in Computer Science, page 62-76. Springer, (2016)The visual active memory perspective on integrated recognition systems.C. Bauckhage, S. Wachsmuth, M. Hanheide, S. Wrede, G. Sagerer, G. Heidemann, and H. Ritter. Image Vision Comput., 26 (1): 5-14 (2008)The Long-Range Saliency of Edge- and Corner-Based Salient PointsG. Heidemann. IEEE Trans. on Image Processing, (2005)Region Saliency as a Measure for Colour Segmentation StabilityG. Heidemann. Image and Vision Computing, (2008)