Industrielle Bildverarbeitung

 2010

• W. Groissboeck, E. Lughofer, S. Thumfart Associating Visual Textures with Human Perceptions using Genetic Algorithms, Information Sciences, vol. 180, issue 11, pp. 2065-2084, doi:10.1016/j.ins.2010.01.035, 2010.
• S. Thumfart, J. Scharinger, C. Eitzinger, Pixel based Texture Mixing,
  accepted for presentation at the 34th Workshop of the Austrian Association for Pattern Recognition, Zwettl, Austria, 27-28th of May 2010.
• B. Henson, G. Elkharraz, S. Thumfart, D. Akay, C. Eitzinger, Machine vision approach to predicting affective properties of tactile textures, In Proceedings of the International Conference on Kansei Engineering and Emotion Research, KEER 2010, Paris, France, March 2- 4, ISBN 978-4-9905104-0-4, pp. 2261 – 2270,  2010.

2009

• W. Heidl, C. Eitzinger, Evaluation of Recurrent Neural Networks for Aggregating Sets of Features in Surface Inspection, accepted for: Proc. QCAV09 - 9th International Conference on Quality Control by Artificial Vision, Wels, Austria, 2009
• W. Heidl, C. Eitzinger, M. Gyimesi, F. Breitenecker, Learning over Sets with Hybrid Recurrent Neural Networks: An Empirical Categorization of Aggregation Functions, in Proc.  MATHMOD 2009 - 6th Vienna International Conference on Mathematical Modelling, pp. 1722-1728, 2009
• W. Heidl, C. Eitzinger, M. Gyimesi, Learning Order Invariant Aggregation Functions with Recurrent Neural Networks, in Proc. MATHMOD 2009 - 6th Vienna International Conference on Mathematical Modelling, pp. 2540–2543, 2009
• J. E. Smith, M. A. Tahir, P. Caleb-Solly, E. Lughofer, C. Eitzinger, D. Sannen and M. Nuttin,
  Human-Machine Interaction Issues in Quality Control Based on On-Line Image Classification,
  IEEE Transactions on Systems, Man and Cybernetics, Vol. 39, No. 5, 960-971, Sept. 2009
• C. Eitzinger, W. Heidl, E. Lughofer, S. Raiser, J. E. Smith, M. A. Tahir, D. Sannen, H. Van Brussel,
  Assessment of the Influence of Adaptive Components in Trainable Surface Inspection Systems,
  Machine Vision and Applications Journal, DOI 10.1007/s00138-009-0211-1, July 2009
• S. Thumfart, C. Eitzinger, Synthesizing Visual Textures for Predefined Aesthetic Properties,
  MINET Conference: Measurement, Sensation and Cognition, London Nov. 10th-12th, 2009
• S. Thumfart, W. Heidl, J. Scharinger, C. Eitzinger, A Quantitative Evaluation of Texture Feature Robustness and Interpolation Behaviour, In: X. Jiang and N. Petkov (Eds.): CAIP 2009, LNCS vol. 5702, pp. 1154-1161. Springer, Heidelberg 2009.
• G. Elkharraz, S. Thumfart, D. Akay, C. Eitzinger, B. Henson, Texture features corresponding to human touch feeling, IEEE International Conference on Image Processing, Egypt, 2009
• W. Heidl, C. Eitzinger,
  Evaluation of Recurrent Neural Networks for Aggregating Sets of Features in Surface Inspection,
  accepted for: Proc. QCAV09 - 9th International Conference on Quality Control by Artificial Vision, Wels, Austria, 2009
• W. Heidl, C. Eitzinger, M. Gyimesi, F. Breitenecker, Learning over Sets with Hybrid Recurrent Neural Networks: An Empirical Categorization of Aggregation Functions, in Proc.  MATHMOD 2009 - 6th Vienna International Conference on Mathematical Modelling, pp. 1722-1728, 2009
• W. Heidl, C. Eitzinger, M. Gyimesi, Learning Order Invariant Aggregation Functions with Recurrent Neural Networks, in Proc. MATHMOD 2009 - 6th Vienna International Conference on Mathematical Modelling, pp. 2540-2543, 2009

2008

• M. Gyimesi, F. Breitenecker, W. Heidl, C. Eitzinger, Artificial Neural Networks-Based Classification of Vector Sets for Surface Inspection, in: Proc. EMSS 2008: 20th European Modeling and Simulation Symposium, pages 386-391, Campora San Giovanni, Amantea (CS), Italy, 2008
• E. Lughofer, J.E. Smith, P. Caleb-Solly, M.A. Tahir, C. Eitzinger, D. Sannen, H. Van Brussel, On Human-Machine Interaction During On-line Image Classifier Training, Proc. International Conference on Computational Intelligence for Modelling, Control and Automation, Vienna, 10-12 Dec., 2008
• S. Thumfart, R.H.A.H. Jacobs, K.V. Haak, F.W. Cornelissen, J. Scharinger, C. Eitzinger, Feature based Prediction of Perceived and Aesthetic Properties of Visual Textures Proc. Materials & Sensations, Pau, 22-24 Oct., 2008
• K. V. Haak, R. H.A.H. Jacobs, S. Thumfart, B. Henson, F. W. Cornelissen, Aesthetics by numbers: computationally derived features of visual textures explain their aesthetics judgment. Perception 37 ECVP Abstract Supplement, page 92, 2008C.
• Eitzinger, M. Gmainer, W. Heidl, A Framework for Adaptive Image Classification in Visual Inspection Tasks,32nd OAGM/AAPR Workshop, ISBN 978-3-85403-232-8, Linz, 26-27 May, 2008, pp. 159-168, 2008
• S. Thumfart, R.H.A.H. Jacobs, F.W. Cornelissen, C. Eitzinger, A Feature Based Approach Towards Predicting the Perceived and Aesthetic Properties of Visual Textures, 32nd Workshop of the Austrian Association for Pattern Recognition, pp. 211-222, Linz, 26-27th of May 2008
• D. Sannen, M. Nuttin, J. Smith, M. A. Tahir, P. Caleb-Solly, E. Lughofer, and C. Eitzinger, An On-Line Interactive Self-Adaptive Image Classification Framework, 6th International Conference on Computer Vision Systems,  Santorini, 12-15 May, 2008, A. Gasteratos, M. Vincze, and J.K. Tsotsos (Eds.): ICVS 2008, LNCS 5008, pp. 171–180, 2008
• C.Eitzinger, M.Gmainer, W.Heidl, E.Lughofer,Increasing Classification Robustness with Adaptive Features, 6th International Conference on Computer Vision Systems, Santorini, 12-15 May, 2008, A. Gasteratos, M. Vincze, and J.K. Tsotsos (Eds.): ICVS 2008, LNCS 5008, pp. 445–453, 2008
• C. Eitzinger, M. Gmainer, C. Wögerer, Identification of Die-Cast Parts Using Surface Structure, AFS 6th International Conference on Permanent Mold Casting of Aluminum, Dallas, Texas, ISBN 978-0-87433-313-8, February 10-13, 2008
• M. Vincze, M. Zillich, W. Ponweiser, V. Hlavac, J. Matas, S. Obdrzalek, H. Buxton, J. Howell, K. Sage, A. Argyros, C. Eberst, G. Umgeher,Integrated Vision System for the Semantic Interpretation of Activities where a Person Handles Objects,Computer Vision and Image Understanding, 10,2008

2007

• A. Argyros, G. Bartfai, C. Eitzinger, Z. Kemeny, B. Csaji, L. Kek, M. Lourakis, W. Reisner, W. Sandrisser, T. Sarmis, G. Umgeher, Z. J. Viharos,  Smart Sensor Based Vision System for Automated Processes,
  International Journal of Factory Automation, Robotics and Soft Computing ISSN 1828-6984, International Society for Advanced Research, vol. 3, pp. 118-123, July 2007
• A. Argyros, G. Bartfai, C. Eitzinger, Z. Kemeny, B. Csaji, L. Kek, M. Lourakis, W. Reisner, W. Sandrisser, T. Sarmis, G. Umgeher, Z. J. Viharos,  Smart Sensor Based Vision System for Automated Processes,
  Emerging Technologies, Robotics and Control Systems, ISBN 978-88-901928-2-1, International Society for Advanced Research, vol. 2, pp. 24-29, June 2007
• M. Aichinger, S. Baumgartner, J. Dirnberger, F. Fellner, J. Trenkler, C. Fellner, G. Haase, L. Muresan, R. Richter, E.P. Klement,MedVis, International Workshop on Image Analysis in the Life Sciences Theory and Applications, Linz, February 28th – March 2nd, 2007
• S. Thumfart, Visualisierung und Volumenmessung von Aneurysmen auf Basis von Angiographiedaten.Master Thesis, Institut für Graphische und Parallele Datenverarbeitung, Johannes Kepler University Linz, 2007

2006

• S. D. Seichter, C. Eitzinger, F. Breitenecker, Model-Based Learning Classifiers for Surface Inspection Problems,Frontiers in simulation. Simulationstechnique 19th Symposium in Hannover. Eds. Matthias Becker, Helena Szczerbicka. Society for Modeling and Simulation International. SCS Publishing House e.V. San Diego, Erlangen. 2006. ISBN 3-936150-49-4. Hannover, September 2006
• C. Eitzinger et. al., Spectroscopic Ellipsometry as a Tool for On-Line Monitoring and Control of Surface Treatment Processes, Materials Science Forum, vol. 518, pp. 423-430, 2006
• S. Baumgartner, Volumenvisualisierung von MR-Daten zur Behandlungsunterstützung bei Schlaganfällen
  Master Thesis, Institut für Graphische und Parallele Datenverarbeitung, Johannes Kepler University Linz, 2006
• W. Heidl, A Computer Vision System for Simultaneous Calibration of a Stereo Camera Rig and Kinematic Calibration of an Articulated Robot Arm.
  Master Thesis, Institute for Computer Graphics and Vision, Graz University of Technology, 2006
• C. Eberst, H. Nöhmayer, G. Umgeher, M. Takagi,
• Towards Programming Robots by Gestures, Test-Case: Programming Bore Inspection for Small Lotsizes,IEEE Conference on Robotics and Automation ICRA06, 16-20 , Mai, USA, 2006

2004

• C. Eitzinger, W. Reisner, Texture Fault Detection by Non-parametric Sampling,
  28th OAGM/AAPR Workshop, Digital Imaging in Media and Education, Hagenberg, pp. 95-102, ISBN 3-85403-179-3, June 17-18, 2004
• C. Eitzinger, Nonsmooth Training of Fuzzy Neural Networks, Soft Computing 8, pp. 443-448, 2004
  2003
• C. Eitzinger, H.Plach, A New Approach to Perceptron Training, IEEE Transactions on Neural Networks, Vol. 14, No. 1, pp. 216-221, Jan. 2003
• M. Takagi, C. Eberst, G. Umgeher,Control of Redundant Attentive and Investigative Behaviors in an Active Cognitive Vision System, Workshop on Computer Vision System Control Architectures (VSCA 2003), Graz, Austria, March 2003
• W. Ponweiser, G. Umgeher, M. Vincze, A Reusable Dynamic Framework for Cognitive Vision Systems, Workshop on Computer Vision System Control Architectures, Graz; 31.03.2003; Computer Vision Systems, ISBN: 3-540-00921-3; S. 31 – 34, 2003

2002

• H. Plach, C. Eitzinger, T. Berndorfer, G. Zeichen, Survey of Multivariate Calibration Methods for Pattern Classification, Proc. SPIE Int. Conf. on Optomechatronic Systems III, Stuttgart, Nov. 2002
• W. Reisner, C. Eitzinger, Sorting of Pollen with a Similarity-Based Approach, 26th Workshop of the AAPR, pp. 265-271, Graz, Sept. 2002

2001

• C. Eitzinger,Second-Order and Nonsmooth Training Method for Fuzzy Neural Networks,Schriften der Johannes-Kepler-Universität Linz, Reihe C, no. 37, Trauner Verlag, Linz, 2001

2000

• T. Berndorfer, C. Eitzinger, A. Brenner, W. van Dyck, A Multivariate Approach To Obtain Real Time Behaviour of Image Processing Applications,ISAM 2000, Intelligent Systems and Advanced Manufacturing, Boston, Nov. 2000
• C. Eitzinger, Calibration of Optical Measurement Systems Using Invariants, Proc. 24th Workshop of the AAPR, pp.33-40, Villach, May 2000

1999

• C. Eitzinger, OCR with Fuzzy Neural Networks, 23rd Workshop of the AAPR,  pp. 119-126, Steyr, May 1999

1998

• B. Favre-Bulle, J. Prenninger, C. Eitzinger, Efficient Tracking of 3D Robot Positions by Dynamic Triangulation, Proc. IEEE Instrumentation and Measurement Technology Conference, vol. 1, pp. 446-449, St. Paul, May 1998