Publikationsliste für
Svorad Stolc
als Autorin / Autor bzw. wesentlich beteiligte Person

80 Datensätze (2005 - 2019)

Die Publikationen des Centers "Vision, Automation & Control" sind erst ab dem Jahr 2017 vollzählig in der Publikationsdatenbank enthalten. Publikationen aus den Jahren vor 2017 können, müssen aber nicht in der Datenbank vorhanden sein.

In der nachstehenden Liste werden Präsentationen mit Tagungsband doppelt - als Druckpublikation und als Präsentation - ausgegeben. Die Gesamtanzahl der unten aufgelisteten Datensätze ist daher im Allgemeinen größer als die oben angeführte Anzahl.


Bücher und Buch-Herausgaben

2 Datensätze:
  1. P.M. Roth, M. Vincze, W. Kubinger, A. Müller, B. Blaschitz, S. Stolc (Hrg.):
    "Proceedings of the OAGM&ARW Joint Workshop Vision, Automation and Robotics";
    Verlag der Technischen Universität Graz, Graz, 2017, ISBN: 978-3-85125-524-9; 186 S.

  2. Tom Van Der Hor, F. Daubner, S. Stolc, D. Soukup, M. Clabian (Hrg.):
    "Assessment and testing methodologies (PAM4DIS)";
    FRONTEX, Warsaw, Polen, 2019.


Artikel in wissenschaftlichen Zeitschriften

10 Datensätze:
  1. D. Antensteiner, S. Stolc, T. Pock:
    "A Review of Depth and Normal Fusion Algorithms";
    Sensors, Vol. 18, (2018), Nr. 2; S. p.431.

  2. I. Bajla, F. Rublík, K. Hornisová, B. Arendacká, I. Farkas, S. Stolc, V. Witkovsky:
    "Segmentation and supervised classification of image objects in Epo-doping control";
    Machine Vision and Applications, DOI 10.1007/s00138-007-0120-0 (2008), S. 243 - 259.

  3. S. Stolc, I. Bajla:
    ""Improvement of band segmentation in Epo images via column shift transformation with cost functions"";
    Medical & Biological Engineering & Computing, 44/2006 (2006), S. 257 - 274.

  4. S. Stolc, I. Bajla:
    "Improved accuracy of band detection in GASepo system for quantitative analysis of images in Epo Doping Control";
    Measurement Science Review, 7 (2007), 1; S. 14 - 18.

  5. S. Stolc, I. Bajla:
    "On the Optimum Architecture of the Biologically Inspired Hierarchical Temporal Memory Model Applied to the Hand-Written Digit Recognition";
    Measurement Science Review, 2 (2010), 10; 21 S.

  6. S. Stolc, I. Bajla, K. Valentin, R. Skoviera:
    "Pair-Wise Temporal Pooling Method for Rapid Training of the HTM Networks Used in Computer Vision Applications";
    Computing and Informatics, 4 (2012), S. 901 - 919.

  7. S. Stolc, R. Huber-Mörk:
    "Computational imaging using a multi-linescan light-field camera";
    Laser Focus World, 6 (2014), 50; S. 19 - 23.

  8. S. Stolc, R. Huber-Mörk, D. Heiss:
    "Computational Fusion of Multi- View and Multi- Illumination Imaging";
    ERCIM News, 108 (2017), 108; S. 36 - 37.

  9. S. Stolc, D. Soukup, B. Holländer, R. Huber-Mörk:
    "Depth and all-in-focus imaging by a multi-line-scan light-field camera";
    Journal of Electronic Imaging, 23 (2014), 5; S. 1 - 19.

  10. K. Valentin, R. Huber-Mörk, S. Stolc:
    "Binary descriptor- based dense line-scan stereo matching";
    Journal of Electronic Imaging, 26/1 (2017), S. 1 - 12.


Artikel in technischen Zeitschriften

1 Datensatz:
  1. F. Daubner, M. Clabian, S. Stolc:
    "FastPass: Optical document security in the context of the automated border control";
    Keesing Journal of Documents & Identity, 47 (2015), S. 36 - 39.


Buchbeiträge

2 Datensätze:
  1. I. Bajla, D. Soukup, S. Stolc:
    "Occluded Image Object Recognition using Localized Nonnegative Matrix Factorization";
    in: "Object Recognition", K. Lovrecic (Hrg.); herausgegeben von: Intech-Verlag; Intech-Verlag, Rijeka, Kroatien, 2011, ISBN: 978-953-307-222-7, S. 83 - 118.

  2. R. Huber-Mörk, G. Fernández Domínguez, S. Stolc, D. Soukup, C. Beleznai:
    "Inspection Methods for Metal Surfaces: Image Acquisition and Algorithms for the Characterization of Defects";
    in: "Integrated Imaging and Vision Techniques for Industrial Inspection: Advances and Aplications", herausgegeben von: Springer; Springer, London, 2015, ISBN: 978-1-4471-6741-9, S. 55 - 99.


Beiträge in Tagungsbänden

41 Datensätze:
  1. D. Antensteiner, B. Blaschitz, C. Eisserer, R. Huber-Mörk, J. Ruisz, S. Stolc, K. Valentin:
    "Line-Scan Stereo for 3D Ground Reconstruction";
    Poster: Fraunhofer Forum Bildverarbeitung 2016, Karlsruhe; 01.12.2016 - 02.12.2016; in: "Forum Bildverarbeitung 2016", Scientific Publishing, Karlsruher Institut für Technologie (KIT), Karlsruhe (2016), ISBN: 978-3-7315-0587-7; S. 209 - 220.

  2. D. Antensteiner, N. Brosch, S. Stolc:
    "Warping based Motion Artefact Compensation for Multi-Line Scan Light Field Imaging";
    Vortrag: IS&T International Symposium on Electronic Imaging 2018: Computational Imaging XVI, Burlingame, California, USA; 28.01.2018 - 02.02.2018; in: "IS&T International Symposium on Electronic Imaging", IS&T, Springfield, VA, 15/2018 (2018), ISSN: 2470-1173; Paper-Nr. COIM-273, pp.273-1.

  3. D. Antensteiner, S. Stolc:
    "Full BRDF Reconstruction Using CNNS From Partial Photometric Stereo-Light Field Data";
    Poster: 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Honolulu; 21.07.2017 - 26.07.2017; in: "2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)", IEEE, (2017), S. 1726 - 1734.

  4. D. Antensteiner, S. Stolc, R. Huber-Mörk:
    "Depth estimation using light fields and photometric stereo with a multi-line-scan framework";
    Vortrag: OAGM-ARW Joint Workshop, Wels; 11.05.2016 - 13.05.2016; in: "Vision Meets Robotics", FH Wels, (2016), ISBN: 3854031688; 6 S.

  5. D. Antensteiner, S. Stolc, R. Huber-Mörk:
    "Depth estimation with light field and photometric stereo data using energy minimization";
    Vortrag: Proceeding of XXII IberoAmerican Congress on Pattern Recoginition (CIARP), Lima, Peru; 08.11.2016 - 11.11.2016; in: "Progress in Pattern Recogntion", Springer International Publishing, 10125 (2016), S. 1 - 8.

  6. D. Antensteiner, S. Stolc, T. Pock:
    "Variational Fusion of Light Field and Photometric Stereo for Precise 3D Sensing within a Multi-Line Scan Framework";
    Vortrag: International Conference on Pattern Recognition (ICPR), Beijing, China; 20.08.2018 - 24.08.2018; in: "International Conference on Pattern Recognition 2018", pp.1036-1042 (2018), S. #.

  7. D. Antensteiner, S. Stolc, D. Soukup:
    "Single Image Multi-Spectral Photometric Stereo Using a Split U-Shaped CNN";
    Poster: CVPR 2019, Long Beach, California; 16.06.2019 - 20.06.2019; in: "CVPR 2019, Long Beach California", (2019), S. 481 - 483.

  8. B. Blaschitz, D. Antensteiner, S. Stolc:
    "Multi-Camera Array Calibration for Light Field Depth Estimation";
    Vortrag: Austrian Association of Pattern Recognition (OAGM) 2018, Hall in Tirol; 15.05.2018 - 16.05.2018; in: "Proceedings of the OAGM Workshop", (2018), ISBN: 978-3-85125-603-1; S. 30 - 33.

  9. B. Blaschitz, S. Stolc, D. Antensteiner:
    "Geometric Calibration and Image Rectification of a Multi-Line Scan Camera for Accurate 3D Reconstruction";
    Vortrag: IS&T International Symposium on Electronic Imaging 2018: Intelligent Robotics and Industrial Applications using Computer Vision 2018, Burlingame, Califormia, USA; 28.01.2018 - 02.02.2018; in: "IS&T International Symposiumm on Electronic Imaging", IS&T, Springfield, VA, IRIACV-240 (2018), ISSN: 2470-1173; Paper-Nr. 9/2018, 6 S.

  10. E. Bodenstorfer, S. Stolc:
    "Advanced Optical Inspection with Inline Computational Imaging";
    Vortrag: 9th Fraunhofer IMS CMOS Imaging Workshop, Duisburg, Deutschland (eingeladen); 07.05.2019 - 08.05.2019; in: "CMOS Workshop", (2019), S. 1 - 31.

  11. N. Brosch, D. Heiss, S. Stolc:
    "3D Erfassung mit Lichtfeld Methoden und photometrischem Stereo";
    Vortrag: 20. Anwendungsbezogener Workshop zur Erfassung, Modellierung, Verarbeitung und Auswertung von 3D-Daten, Berlin, Deutschland (eingeladen); 07.12.2017 - 08.12.2017; in: "20. Anwendungsbezogener Workshop zur Erfassung, Modellierung, Verarbeitung und Auswertung von 3D-Daten", Gesellschaft zur Förderung angewandter Informatik e.Vl (GFal), Berlin, Deutschland, 20 (2017), ISBN: 978-3-942709-17-0; S. 13 - 20.

  12. N. Brosch, S. Stolc, S. Breuss, D. Antensteiner:
    "Motion Artefact Compensation for Multi-Line Scan Imaging";
    Vortrag: Joint Austrian Robotics Workshop and ÖAGM Workshop 2019, Steyer; 09.05.2019 - 10.05.2019; in: "Proceedings of the Joint ARW & OAGM Workshop 2019", TODO (2019), ISBN: 978-3-85125-663-5; S. 165 - 166.

  13. H. Budacova, S. Stolc:
    "Comparison of Novel Methods for Correlation Dimension Estimation";
    Vortrag: 9th International Conference on Measurement, Smolenice, SK; 27.05.2013 - 30.05.2013; in: "Proceedings ot 9th International Conference on Measurement", Comenius University, Slovak Technical University, Bratislava (2013), ISBN: 978-80-969-672-5-4; S. 27 - 30.

  14. F. Daubner, S. Stolc, R. Huber-Mörk:
    "Document aging effects and automated security document authentication";
    Vortrag: 9th Annual IEEE International Systems Conference (SysCon), Vancouver, BC, Canada; 13.04.2015 - 16.04.2015; in: "Proceedings of 2015 IEEE Internatinal Systems Conference", IEEE, Piscataway NJ USA (2015), ISBN: 978-1-4799-5926-6; S. 347 - 352.

  15. F. Daubner, K. Valentin, P. Wild, S. Stolc, M. Clabian:
    "Optical benchmarking of security document readers in FastPass";
    Vortrag: SPIE Security + Defence, Edinburgh,UK; 26.09.2016 - 29.09.2016; in: "SPIE Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XII", SPIE, Bellingham (2016), ISBN: 9781510603943; Paper-Nr. 9995, 11 S.

  16. M. Gschwandtner, S. Stolc:
    "Active display attack on security document scanners and countermeasures";
    Vortrag: Optical Document Security, San Francisco, CA; 29.01.2014 - 31.01.2014; in: "Proceedings of Optical Document Security", Reconnaissance International, UK (2014), 8 S.

  17. M. Gschwandtner, S. Stolc, F. Daubner:
    "Optical Security Document Simulator for Black-Box Testing of ABC Systems";
    Vortrag: IEEE Joint Intelligence and Security Informatics Conference (JISIC) 2014, Den Haag; 24.09.2014 - 26.09.2014; in: "Proceedings of 2014 IEEE Joint Intelligence and Security Informatics Conference", IEEE, (2014), ISBN: 978-1-4799-6364-5; Paper-Nr. 86, 3 S.

  18. D. Hirner, S. Stolc, T. Pock:
    "Photometric Stereo in Multi-Line Scan Framework under Complex Illumination via Simulation and Learning";
    Poster: Proceedings of the ÖAGM & ARW Joint Workshop 2017, Vision Automation and Robotics, Wien; 10.05.2017 - 12.05.2017; in: "Proceedings of the ÖAGM & ARW Joint Workshop 2017, Vision Automation and Robotics", Austrian Association for Pattern Recognition and Austrian Robotics Workshop, Verlag der Technischen Universität Graz, Graz, (2017), ISBN: 978-3-85125-524-9; S. 152 - 157.

  19. B. Holländer, S. Stolc, R. Huber-Mörk:
    "Multi-view line-scan inspection system using planar mirrors";
    Vortrag: Proceedings of SPIE Optical Metrology 8791: Videometrics, Range Imaging, and Applications XII; and Automated Visual Inspection, Munich, D; 13.05.2013 - 16.05.2013; in: "Proceedings of SPIE Optical Metrology 8791: Videometrics, RAnge Imaging, and Applications XII; and Automated Visual Inspection", SPIE, Bellingham, WA, USA, 8791 (2013), ISBN: 978-0-8194-9595-2; Paper-Nr. 879118, 11 S.

  20. R. Huber-Mörk, D. Soukup, S. Stolc, B. Holländer:
    "Depth Estimation within a Multi-Line-Scan Light-Field Framework";
    Vortrag: 10th International Symposium on Visual Computing, Las Vegas, NV, USA; 08.12.2014 - 10.12.2014; in: "Advances in Visual Computing, Part 1, Lecture Notes in Computer Science", Springeer, LNCS 8887, Heidelberg (2014), ISBN: 978-3-319-14248-7; S. 471 - 481.

  21. R. Huber-Mörk, S. Stolc, D. Soukup, B. Holländer:
    "Shape from Refocus";
    Vortrag: 10th International Symposium on Visual Computing, Las Vegas, NV, USA; 08.12.2014 - 10.12.2014; in: "Advances in Visual Computing, Part 1, Lecture Notes in Computer Science", Springeer, LNCS 8887, Heidelberg (2014), ISBN: 978-3-319-14248-7; S. 153 - 162.

  22. R. Huber-Mörk, K. Valentin, B. Blaschitz, S. Stolc:
    "Line-scan stereo using binary descriptor matching and regularization";
    Vortrag: 2017 IS&T International Symposium on Electronic Imaging: Intelligent Robotics and Industrial Applications using Computer Vision 2017, Burlingame, CA, USA; 29.01.2017 - 02.02.2017; in: "IS&T International Symposium on Electronic Imaging", IS&T, Springfield, VA, IRIACV-269 (2017), ISSN: 2470-1173; Paper-Nr. IRIACV-269, 9 S.

  23. R. Skoviera, K. Valentin, S. Stolc, I. Bajla:
    "Recognition of Untrustworthy Face Images in ATM Sessions using a Bio-inspired Intelligent Network";
    Vortrag: International Conference on Pattern Recognition Applications and Methods ICPRAM 2013, Barcelona; 15.02.2013 - 18.02.2013; in: "Proceedings of International Conference on Pattern Recognition Applications and Methods ICPRAM 2013", SciTePress, 2/2013 (2013), ISBN: 978-989-8565-41-9; S. 511 - 517.

  24. D. Soukup, S. Stolc, R. Huber-Mörk:
    "On optimal illumination for DOVID description using photometric stereo";
    Vortrag: Advanced Concepts for Intelligent Vision Systems, ACIVS 2015, Catania, IT; 26.10.2015 - 29.10.2015; in: "Proceedings of Advanced Concepts for Intelligent Vision Systems. Lecture Notes in Computer Science", Springer, LNCS 7517 (2015), ISBN: 978-3-642-17687-6; Paper-Nr. LNCS 9386, 23 S.

  25. S. Stolc:
    "Computational Photography and Light Fields";
    Hauptvortrag: International Conference "Computer Support in Archaeology 12", Kocovce; 22.05.2013 - 24.05.2013; in: "International Conference "Computer Support in Archaeology 12"", Comenius University and Slovak Technical University, Bratislava, Slovakia (2013), ISBN: 978-80-223-3396-2; Paper-Nr. 2/2013, 27 S.

  26. S. Stolc, D. Antensteiner, K. Valentin, B. Blaschitz, R. Huber-Mörk, T. Pock:
    "High-Precision 3D Sensing with Hybrid Light Field & Photometric Stereo Approach in Multi-Line Scan Framework";
    Vortrag: 2017 IS&T International Symposium on Electronic Imaging: Intelligent Robotics and Industrial Applications using Computer Vision 2017, Burlingame, CA, USA; 29.01.2017 - 02.02.2017; in: "IS&T International Symposium on Electronic Imaging", IS&T, Springfield, VA, (2017), ISSN: 2470-1173; S. 52 - 60.

  27. S. Stolc, I. Bajla:
    ""Improvement of Band Classification in GASepo System used in Epo Doping-Control"";
    Vortrag: 18th Biennal Int. EURASIP Conf. BIOSIGNAL 2006, Brno, Czech Republic; 17.06.2006 - 29.06.2006; in: "18th Biennal Int. EURASIP Conf. BIOSIGNAL 2006", VUTIUM Press, - (2006), ISBN: 80-214-3152-0; S. 281 - 283.

  28. S. Stolc, I. Bajla:
    "Application of the computational intelligence network based on Hierarchical Temporal Memory to face recognition";
    Vortrag: 10th IASTED International Conference on Artificial Intelligence and Applications AIA 2010, Innsbruck; 15.02.2010 - 17.02.2010; in: "AIA 2010", ACTA Press, (2010), 7 S.

  29. S. Stolc, I. Bajla:
    "Image object recognition based on biologically inspired hierarchical temporal memory model and its application to the USPS database";
    Vortrag: 7th International Conference on Measurement, Smolenice, Slovak Republic; 20.05.2009 - 23.05.2009; in: "Measurement 2009", Inst. of Measurement Science, Slovak Academy of Sciences, (2009), ISBN: 978-80-969672-1-6; S. 23 - 27.

  30. S. Stolc, I. Bajla:
    "Improved accuracy of band detection in GASepo system for quantitative analysis of images in Epo Doping Control";
    Vortrag: MEASUREMENT 2007, Smolenice Castle, Slovakia; 20.05.2007 - 24.05.2007; in: "MEASUREMENT 2007, Proceedings of the 6th Int. Conf. on Measurement", I. Frollo, J. Manka, V. Juras (Hrg.); VEDA, (2007), ISBN: 978-80-969672-0-9; S. 21 - 25.

  31. S. Stolc, I. Bajla:
    "Improvement of object segmentation and classification via correction of Epo image distortions";
    Vortrag: 5th International Conference on Measurement, Slovac Republic; 15.05.2005; in: "5th International Conference on Measurement", Proceedings of the 5th International Conference on Measurement VEDA, Slovak Republic (2005), ISBN: 80-967402-8-8; S. 212 - 215.

  32. S. Stolc, I. Bajla, K. Valentin, R. Skoviera:
    "Temporal Pooling Method for Rapid HTM Learning Applied to Geometric Object Recognition";
    Vortrag: 8th International Conference on Measurement, Smolenice, Slovakia; 27.04.2011 - 30.04.2011; in: "Proceedings of the 8th International Conference on Measurement", J. Manka, V. Witkovsky, M. Tysler, I. Frollo (Hrg.); VEDA, Publishing House of the Slovak Academy of Sciences, (2011), ISBN: 978-80-969-672-4-7; S. 59 - 64.

  33. S. Stolc, R. Huber-Mörk, B. Holländer, D. Soukup:
    "Depth and all-in-focus images obtained by multi-line-scan light-field approach";
    Vortrag: SPIE-IS&T Electronic Imaging - Image Processing: Machine Vision Applications VII, San Francisco, CA, USA; 02.02.2014 - 06.02.2014; in: "Proceedings of SPIE-IS&T Electronic Imaging - Image Processing: Machine Vision Applications VII", SPIE, Bellingham (2014), ISBN: 978-0-8194-9941-7; 16 S.

  34. S. Stolc, D. Soukup, R. Huber-Mörk:
    "Analysis of optically variable devices using a photometric light-field approach";
    Vortrag: IS&T/SPIE Electronic Imaging 2015 - Media Watermarking, Security, and Forensics 2015, San Francisco, CA; 08.02.2015 - 12.02.2015; in: "Media Watermarking, Security and Forensics 2015", SPIE-IS&T, (2015), ISBN: 9781628414998; Paper-Nr. 94090R, 9 S.

  35. S. Stolc, D. Soukup, R. Huber-Mörk:
    "Invariant characterization of dovid security features using a photometric descriptor";
    Vortrag: IEEE International Conference on Image Processing, Quebec City, Canada; 27.09.2015 - 30.09.2015; in: "Proceedings of the International Conference on Image Processing", IEEE, (2015), ISBN: 978-1-4244-7994-8; Paper-Nr. IFS-P1.3, 5 S.

  36. S. Stolc, K. Valentin, R. Huber-Mörk:
    "STABLE: Stochastic Binary Local Descriptor for Highperformance Dense Stereo Matching";
    Vortrag: IS&T Electronic Imaging 2016: Machine Vision Applications IX, San Francisco, CA; 14.02.2016 - 18.02.2016; in: "IS&T International Symposium on Electronic Imaging", IS&T, Springfield, VA (2016), ISSN: 2470-1173; Paper-Nr. IPMVA-389, 7 S.

  37. L. Traxler, S. Stolc:
    "3D microscopic imaging using Structure-from-Motion";
    Vortrag: IS&T International Symposium on Electronic Imaging 2019: 3D Measurement and Data Processing (MP3D), Burlingame, California, USA; 13.01.2019 - 17.01.2019; in: "IS&T International Symposium on Electronic Imaging 2019", IS&T, Springfield, VA, Vol. 2019 (2019), ISSN: 2470-1173; Paper-Nr. 3DMP-003/3064802, 6 S.

  38. K. Valentin, I. Bajla, S. Stolc:
    "A Performance Comparison of HTM and DBN Models Applied to Visual Object Classification";
    Vortrag: 9th International Conference on Measurement, Smolenice, SK; 27.05.2013 - 30.05.2013; in: "Proceedings ot 9th International Conference on Measurement", Comenius University, Slovak Technical University, Bratislava (2013), ISBN: 978-80-969-672-5-4; S. 23 - 26.

  39. K. Valentin, S. Stolc, R. Huber-Mörk:
    "Improved cost computation with local binary features in a multi-view block matching framework";
    Vortrag: 10th International Conference on Measurement, Smolenice, Slovakia; 25.05.2015 - 28.05.2015; in: "Proceedings of the 10th International Conference on Measurement", (2015), ISBN: 978-80-969672-9-2; S. 21 - 24.

  40. P. Wild, S. Stolc, K. Valentin, F. Daubner, M. Clabian:
    "Compression Effects on Security Document Images";
    Vortrag: 2016 European Intelligence and Security Informatics Conference (EISIC), Uppsala, Schweden; 17.08.2016 - 19.08.2016; in: "Proceedings of the 2016 European Intelligence and Security Informatics Conference (EISIC)", IEEE, Red Hook, NY, USA, 1 (2016), ISBN: 978-1-5090-2856-6; S. 1 - 4.

  41. P. Wild, S. Stolc, K. Valentin, F. Daubner, M. Clabian:
    "On Interoperatbility of Security Document Reading Devices";
    Vortrag: 2016 European Intelligence and Security Informatics Conference (EISIC), Uppsala, Schweden; 17.08.2016 - 19.08.2016; in: "Proceedings of the 2016 European Intellligence and Security Informatics Conference", IEEE, Red Hook, NY, USA, 1 (2016), ISBN: 978-1-5090-2856-6; S. 1 - 7.


Vorträge und Posterpräsentationen auf Tagungen

59 Datensätze:
  1. D. Antensteiner, B. Blaschitz, C. Eisserer, R. Huber-Mörk, J. Ruisz, S. Stolc, K. Valentin:
    "Line-Scan Stereo for 3D Ground Reconstruction";
    Poster: Fraunhofer Forum Bildverarbeitung 2016, Karlsruhe; 01.12.2016 - 02.12.2016; in: "Forum Bildverarbeitung 2016", Scientific Publishing, Karlsruher Institut für Technologie (KIT), Karlsruhe (2016), ISBN: 978-3-7315-0587-7; S. 209 - 220.

  2. D. Antensteiner, N. Brosch, S. Stolc:
    "Warping based Motion Artefact Compensation for Multi-Line Scan Light Field Imaging";
    Vortrag: IS&T International Symposium on Electronic Imaging 2018: Computational Imaging XVI, Burlingame, California, USA; 28.01.2018 - 02.02.2018; in: "IS&T International Symposium on Electronic Imaging", IS&T, Springfield, VA, 15/2018 (2018), ISSN: 2470-1173; Paper-Nr. COIM-273, pp.273-1.

  3. D. Antensteiner, S. Stolc:
    "Full BRDF Reconstruction Using CNNS From Partial Photometric Stereo-Light Field Data";
    Poster: 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Honolulu; 21.07.2017 - 26.07.2017; in: "2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)", IEEE, (2017), S. 1726 - 1734.

  4. D. Antensteiner, S. Stolc:
    "Full BRDF Reconstruction Using CNNs from Partial Photometric Stereo-Light Field Data";
    Poster: EMVA Forum 2017, Wien; 06.09.2017 - 08.09.2017.

  5. D. Antensteiner, S. Stolc, R. Huber-Mörk:
    "Depth estimation using light fields and photometric stereo with a multi-line-scan framework";
    Vortrag: OAGM-ARW Joint Workshop, Wels; 11.05.2016 - 13.05.2016; in: "Vision Meets Robotics", FH Wels, (2016), ISBN: 3854031688; 6 S.

  6. D. Antensteiner, S. Stolc, R. Huber-Mörk:
    "Depth estimation with light field and photometric stereo data using energy minimization";
    Vortrag: Proceeding of XXII IberoAmerican Congress on Pattern Recoginition (CIARP), Lima, Peru; 08.11.2016 - 11.11.2016; in: "Progress in Pattern Recogntion", Springer International Publishing, 10125 (2016), S. 1 - 8.

  7. D. Antensteiner, S. Stolc, T. Pock:
    "Variational Depth and Normal Fusion Algorithms for 3D Reconstruction";
    Vortrag: EMVA Forum 2018, Bologna, Italien; 05.09.2018 - 07.09.2018.

  8. D. Antensteiner, S. Stolc, T. Pock:
    "Variational Depth and Normal Fusion Algorithms for 3D Reconstruction";
    Poster: Woman in Computer Vision Workshop (WiCV) @Computer Vision and Pattern Recognition (CVPR) 2018, Salt Lake City, USA; 17.06.2018 - 23.06.2018.

  9. D. Antensteiner, S. Stolc, T. Pock:
    "Variational Fusion of Light Field and Photometric Stereo for Precise 3D Sensing within a Multi-Line Scan Framework";
    Vortrag: International Conference on Pattern Recognition (ICPR), Beijing, China; 20.08.2018 - 24.08.2018; in: "International Conference on Pattern Recognition 2018", pp.1036-1042 (2018), S. #.

  10. D. Antensteiner, S. Stolc, D. Soukup:
    "Single Image Multi-Spectral Photometric Stereo Using a Split U-Shaped CNN";
    Poster: CVPR 2019, Long Beach, California; 16.06.2019 - 20.06.2019; in: "CVPR 2019, Long Beach California", (2019), S. 481 - 483.

  11. D. Antensteiner, S. Stolc, D. Soukup:
    "Surface Normals and Albedo Reconstruction from Single-Shot Images Using a Split U-Net";
    Vortrag: EMVA Forum 2019, Lyon, France; 04.09.2019 - 06.09.2019.

  12. B. Blaschitz, D. Antensteiner, S. Stolc:
    "Multi-Camera Array Calibration for Light Field Depth Estimation";
    Vortrag: Austrian Association of Pattern Recognition (OAGM) 2018, Hall in Tirol; 15.05.2018 - 16.05.2018; in: "Proceedings of the OAGM Workshop", (2018), ISBN: 978-3-85125-603-1; S. 30 - 33.

  13. B. Blaschitz, S. Stolc, D. Antensteiner:
    "Geometric Calibration and Image Rectification of a Multi-Line Scan Camera for Accurate 3D Reconstruction";
    Vortrag: IS&T International Symposium on Electronic Imaging 2018: Intelligent Robotics and Industrial Applications using Computer Vision 2018, Burlingame, Califormia, USA; 28.01.2018 - 02.02.2018; in: "IS&T International Symposiumm on Electronic Imaging", IS&T, Springfield, VA, IRIACV-240 (2018), ISSN: 2470-1173; Paper-Nr. 9/2018, 6 S.

  14. N. Brosch, D. Heiss, S. Stolc:
    "3D Erfassung mit Lichtfeld Methoden und photometrischem Stereo";
    Vortrag: 20. Anwendungsbezogener Workshop zur Erfassung, Modellierung, Verarbeitung und Auswertung von 3D-Daten, Berlin, Deutschland (eingeladen); 07.12.2017 - 08.12.2017; in: "20. Anwendungsbezogener Workshop zur Erfassung, Modellierung, Verarbeitung und Auswertung von 3D-Daten", Gesellschaft zur Förderung angewandter Informatik e.Vl (GFal), Berlin, Deutschland, 20 (2017), ISBN: 978-3-942709-17-0; S. 13 - 20.

  15. N. Brosch, S. Stolc, S. Breuss, D. Antensteiner:
    "Motion Artefact Compensation for Multi-Line Scan Imaging";
    Vortrag: Joint Austrian Robotics Workshop and ÖAGM Workshop 2019, Steyer; 09.05.2019 - 10.05.2019; in: "Proceedings of the Joint ARW & OAGM Workshop 2019", TODO (2019), ISBN: 978-3-85125-663-5; S. 165 - 166.

  16. H. Budacova, S. Stolc:
    "Comparison of Novel Methods for Correlation Dimension Estimation";
    Vortrag: 9th International Conference on Measurement, Smolenice, SK; 27.05.2013 - 30.05.2013; in: "Proceedings ot 9th International Conference on Measurement", Comenius University, Slovak Technical University, Bratislava (2013), ISBN: 978-80-969-672-5-4; S. 27 - 30.

  17. F. Daubner, S. Stolc, R. Huber-Mörk:
    "Document aging effects and automated security document authentication";
    Vortrag: 9th Annual IEEE International Systems Conference (SysCon), Vancouver, BC, Canada; 13.04.2015 - 16.04.2015; in: "Proceedings of 2015 IEEE Internatinal Systems Conference", IEEE, Piscataway NJ USA (2015), ISBN: 978-1-4799-5926-6; S. 347 - 352.

  18. F. Daubner, K. Valentin, P. Wild, S. Stolc, M. Clabian:
    "Optical benchmarking of security document readers in FastPass";
    Vortrag: SPIE Security + Defence, Edinburgh,UK; 26.09.2016 - 29.09.2016; in: "SPIE Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XII", SPIE, Bellingham (2016), ISBN: 9781510603943; Paper-Nr. 9995, 11 S.

  19. M. Gschwandtner, S. Stolc:
    "Active display attack on security document scanners and countermeasures";
    Vortrag: Optical Document Security, San Francisco, CA; 29.01.2014 - 31.01.2014; in: "Proceedings of Optical Document Security", Reconnaissance International, UK (2014), 8 S.

  20. M. Gschwandtner, S. Stolc, F. Daubner:
    "Optical Security Document Simulator for Black-Box Testing of ABC Systems";
    Vortrag: IEEE Joint Intelligence and Security Informatics Conference (JISIC) 2014, Den Haag; 24.09.2014 - 26.09.2014; in: "Proceedings of 2014 IEEE Joint Intelligence and Security Informatics Conference", IEEE, (2014), ISBN: 978-1-4799-6364-5; Paper-Nr. 86, 3 S.

  21. D. Hirner, S. Stolc, T. Pock:
    "Photometric Stereo in Multi-Line Scan Framework under Complex Illumination via Simulation and Learning";
    Poster: Proceedings of the ÖAGM & ARW Joint Workshop 2017, Vision Automation and Robotics, Wien; 10.05.2017 - 12.05.2017; in: "Proceedings of the ÖAGM & ARW Joint Workshop 2017, Vision Automation and Robotics", Austrian Association for Pattern Recognition and Austrian Robotics Workshop, Verlag der Technischen Universität Graz, Graz, (2017), ISBN: 978-3-85125-524-9; S. 152 - 157.

  22. B. Holländer, S. Stolc, R. Huber-Mörk:
    "Multi-view line-scan inspection system using planar mirrors";
    Vortrag: Proceedings of SPIE Optical Metrology 8791: Videometrics, Range Imaging, and Applications XII; and Automated Visual Inspection, Munich, D; 13.05.2013 - 16.05.2013; in: "Proceedings of SPIE Optical Metrology 8791: Videometrics, RAnge Imaging, and Applications XII; and Automated Visual Inspection", SPIE, Bellingham, WA, USA, 8791 (2013), ISBN: 978-0-8194-9595-2; Paper-Nr. 879118, 11 S.

  23. R. Huber-Mörk, D. Soukup, S. Stolc, B. Holländer:
    "Depth Estimation within a Multi-Line-Scan Light-Field Framework";
    Vortrag: 10th International Symposium on Visual Computing, Las Vegas, NV, USA; 08.12.2014 - 10.12.2014; in: "Advances in Visual Computing, Part 1, Lecture Notes in Computer Science", Springeer, LNCS 8887, Heidelberg (2014), ISBN: 978-3-319-14248-7; S. 471 - 481.

  24. R. Huber-Mörk, S. Stolc, D. Soukup, B. Holländer:
    "Shape from Refocus";
    Vortrag: 10th International Symposium on Visual Computing, Las Vegas, NV, USA; 08.12.2014 - 10.12.2014; in: "Advances in Visual Computing, Part 1, Lecture Notes in Computer Science", Springeer, LNCS 8887, Heidelberg (2014), ISBN: 978-3-319-14248-7; S. 153 - 162.

  25. R. Huber-Mörk, K. Valentin, B. Blaschitz, S. Stolc:
    "Line-scan stereo using binary descriptor matching and regularization";
    Vortrag: 2017 IS&T International Symposium on Electronic Imaging: Intelligent Robotics and Industrial Applications using Computer Vision 2017, Burlingame, CA, USA; 29.01.2017 - 02.02.2017; in: "IS&T International Symposium on Electronic Imaging", IS&T, Springfield, VA, IRIACV-269 (2017), ISSN: 2470-1173; Paper-Nr. IRIACV-269, 9 S.

  26. A. Kriechbaum, A. Gschwandtner, S. Stolc:
    "Document security in the age of fully automated border control systems";
    Vortrag: 2nd Global ABC Conference and Exhibition, Warsaw, PL; 10.10.2013 - 11.10.2013.

  27. T. Pock, P. Knöbelreiter, A. Shekhovtsov, C. Reinbacher, S. Stolc, K. Valentin, R. Huber-Mörk:
    "Learning better models for computer Vision";
    Vortrag: Industrial Vision Days, Vision Leitmesse für Bildverarbeitung 2016, Stuttgart; 08.11.2016 - 10.11.2016.

  28. R. Skoviera, K. Valentin, S. Stolc, I. Bajla:
    "Recognition of Untrustworthy Face Images in ATM Sessions using a Bio-inspired Intelligent Network";
    Vortrag: International Conference on Pattern Recognition Applications and Methods ICPRAM 2013, Barcelona; 15.02.2013 - 18.02.2013; in: "Proceedings of International Conference on Pattern Recognition Applications and Methods ICPRAM 2013", SciTePress, 2/2013 (2013), ISBN: 978-989-8565-41-9; S. 511 - 517.

  29. D. Soukup, D. Antensteiner, K. Valentin, R. Huber-Mörk, S. Stolc:
    "High Speed Multi-Line Scan Imaging für Inspection of Tactile Security Features";
    Vortrag: 2016 Banknote Equipment Manufacturer Conference, Charlotte, USA (eingeladen); 21.09.2016 - 22.09.2016.

  30. D. Soukup, S. Stolc, R. Huber-Mörk:
    "On optimal illumination for DOVID description using photometric stereo";
    Vortrag: Advanced Concepts for Intelligent Vision Systems, ACIVS 2015, Catania, IT; 26.10.2015 - 29.10.2015; in: "Proceedings of Advanced Concepts for Intelligent Vision Systems. Lecture Notes in Computer Science", Springer, LNCS 7517 (2015), ISBN: 978-3-642-17687-6; Paper-Nr. LNCS 9386, 23 S.

  31. D. Soukup, S. Stolc, P. Thanner:
    "Deep learning as Substitute for CRF-Regularization in 3D Image Processing";
    Vortrag: EMVA Forum 2018, Bologna, Italien; 05.09.2018 - 07.09.2018.

  32. S. Stolc:
    "Computational Photography and Light Fields";
    Hauptvortrag: International Conference "Computer Support in Archaeology 12", Kocovce; 22.05.2013 - 24.05.2013; in: "International Conference "Computer Support in Archaeology 12"", Comenius University and Slovak Technical University, Bratislava, Slovakia (2013), ISBN: 978-80-223-3396-2; Paper-Nr. 2/2013, 27 S.

  33. S. Stolc:
    "Computational Photography for Analysis and Documentation of Archaeological Artefacts";
    Hauptvortrag: ZBSA Mitarbeiterkolloquium, Schleswig, D (eingeladen); 12.11.2015.

  34. S. Stolc:
    "High-Speed Multi-Line Scan Imaging for Material Inspection";
    Vortrag: Scientific Vision Days, VISION Weltleitmesse für Bildverarbeitung 2016, Stuttgart; 08.11.2016 - 10.11.2016.

  35. S. Stolc:
    "Hybrid depth sensing using high-speed multi-line scan technology";
    Vortrag: EMVA Forum 2017, Wien (eingeladen); 06.09.2017 - 08.09.2017.

  36. S. Stolc:
    "Inline Computational Imaging: Single Sensor Technology for Simultaneous 2D und 3D High Definition Inline Inspection";
    Vortrag: Scientific Vision Days 2018, Stuttgart; 05.11.2018 - 08.11.2018.

  37. S. Stolc, D. Antensteiner, K. Valentin, B. Blaschitz, R. Huber-Mörk, T. Pock:
    "High-Precision 3D Sensing with Hybrid Light Field & Photometric Stereo Approach in Multi-Line Scan Framework";
    Vortrag: 2017 IS&T International Symposium on Electronic Imaging: Intelligent Robotics and Industrial Applications using Computer Vision 2017, Burlingame, CA, USA; 29.01.2017 - 02.02.2017; in: "IS&T International Symposium on Electronic Imaging", IS&T, Springfield, VA, (2017), ISSN: 2470-1173; S. 52 - 60.

  38. S. Stolc, I. Bajla:
    ""Improvement of Band Classification in GASepo System used in Epo Doping-Control"";
    Vortrag: 18th Biennal Int. EURASIP Conf. BIOSIGNAL 2006, Brno, Czech Republic; 17.06.2006 - 29.06.2006; in: "18th Biennal Int. EURASIP Conf. BIOSIGNAL 2006", VUTIUM Press, - (2006), ISBN: 80-214-3152-0; S. 281 - 283.

  39. S. Stolc, I. Bajla:
    "Application of the computational intelligence network based on Hierarchical Temporal Memory to face recognition";
    Vortrag: 10th IASTED International Conference on Artificial Intelligence and Applications AIA 2010, Innsbruck; 15.02.2010 - 17.02.2010; in: "AIA 2010", ACTA Press, (2010), 7 S.

  40. S. Stolc, I. Bajla:
    "Image object recognition based on biologically inspired hierarchical temporal memory model and its application to the USPS database";
    Vortrag: 7th International Conference on Measurement, Smolenice, Slovak Republic; 20.05.2009 - 23.05.2009; in: "Measurement 2009", Inst. of Measurement Science, Slovak Academy of Sciences, (2009), ISBN: 978-80-969672-1-6; S. 23 - 27.

  41. S. Stolc, I. Bajla:
    "Improved accuracy of band detection in GASepo system for quantitative analysis of images in Epo Doping Control";
    Vortrag: MEASUREMENT 2007, Smolenice Castle, Slovakia; 20.05.2007 - 24.05.2007; in: "MEASUREMENT 2007, Proceedings of the 6th Int. Conf. on Measurement", I. Frollo, J. Manka, V. Juras (Hrg.); VEDA, (2007), ISBN: 978-80-969672-0-9; S. 21 - 25.

  42. S. Stolc, I. Bajla:
    "Improvement of object segmentation and classification via correction of Epo image distortions";
    Vortrag: 5th International Conference on Measurement, Slovac Republic; 15.05.2005; in: "5th International Conference on Measurement", Proceedings of the 5th International Conference on Measurement VEDA, Slovak Republic (2005), ISBN: 80-967402-8-8; S. 212 - 215.

  43. S. Stolc, I. Bajla, K. Valentin, R. Skoviera:
    "Temporal Pooling Method for Rapid HTM Learning Applied to Geometric Object Recognition";
    Vortrag: 8th International Conference on Measurement, Smolenice, Slovakia; 27.04.2011 - 30.04.2011; in: "Proceedings of the 8th International Conference on Measurement", J. Manka, V. Witkovsky, M. Tysler, I. Frollo (Hrg.); VEDA, Publishing House of the Slovak Academy of Sciences, (2011), ISBN: 978-80-969-672-4-7; S. 59 - 64.

  44. S. Stolc, R. Huber-Mörk, E. Bodenstorfer, D. Heiss:
    "Computational Imaging for Industrial Applications";
    Hauptvortrag: 7th Fraunhofer IMS Workshop: CMOS Imaging - From Photon to Camera, Duisburg, D (eingeladen); 20.05.2014 - 21.05.2014.

  45. S. Stolc, R. Huber-Mörk, B. Holländer, D. Soukup:
    "Depth and all-in-focus images obtained by multi-line-scan light-field approach";
    Vortrag: SPIE-IS&T Electronic Imaging - Image Processing: Machine Vision Applications VII, San Francisco, CA, USA; 02.02.2014 - 06.02.2014; in: "Proceedings of SPIE-IS&T Electronic Imaging - Image Processing: Machine Vision Applications VII", SPIE, Bellingham (2014), ISBN: 978-0-8194-9941-7; 16 S.

  46. S. Stolc, D. Soukup, R. Huber-Mörk:
    "Analysis of optically variable devices using a photometric light-field approach";
    Vortrag: IS&T/SPIE Electronic Imaging 2015 - Media Watermarking, Security, and Forensics 2015, San Francisco, CA; 08.02.2015 - 12.02.2015; in: "Media Watermarking, Security and Forensics 2015", SPIE-IS&T, (2015), ISBN: 9781628414998; Paper-Nr. 94090R, 9 S.

  47. S. Stolc, D. Soukup, R. Huber-Mörk:
    "Invariant characterization of dovid security features using a photometric descriptor";
    Vortrag: IEEE International Conference on Image Processing, Quebec City, Canada; 27.09.2015 - 30.09.2015; in: "Proceedings of the International Conference on Image Processing", IEEE, (2015), ISBN: 978-1-4244-7994-8; Paper-Nr. IFS-P1.3, 5 S.

  48. S. Stolc, P. Thanner, J. Brodersen:
    "Coin Inspection Re-invented";
    Vortrag: World Money Fair 2018, Berlin (eingeladen); 02.02.2018 - 04.02.2018.

  49. S. Stolc, L. Traxler:
    "Inline 3D Microscopy: Inline Computational Imaging for High-Accuracy Optical Inspection";
    Vortrag: Control Vision Talks 2019, Stuttgart, Germany; 07.05.2019 - 10.05.2019.

  50. S. Stolc, K. Valentin, R. Huber-Mörk:
    "STABLE: Stochastic Binary Local Descriptor for Highperformance Dense Stereo Matching";
    Vortrag: IS&T Electronic Imaging 2016: Machine Vision Applications IX, San Francisco, CA; 14.02.2016 - 18.02.2016; in: "IS&T International Symposium on Electronic Imaging", IS&T, Springfield, VA (2016), ISSN: 2470-1173; Paper-Nr. IPMVA-389, 7 S.

  51. S. Stolc, A. Vrabl, E. Bodenstorfer:
    "Towards more flexible image sensors for multi-modal in-line image acquisition";
    Vortrag: EMVA Forum 2017, Wien; 06.09.2017 - 08.09.2017.

  52. P. Thanner, S. Stolc:
    "Inline Computational Imaging for High-Performance 3D Measurement - Next Generation Industrial Inline Inspection";
    Vortrag: Control Vision Talks 2017, Stuttgart; 09.05.2017 - 11.05.2017.

  53. P. Thanner, S. Stolc:
    "Inline Computational Imaging: New Technology for Simultaneous 2D & 3D Inline Inspection";
    Vortrag: Control Vision Talks 2018, Stuttgart; 24.04.2018 - 27.04.2018.

  54. P. Thanner, S. Stolc:
    "Inline Computational Imaging: New Technology for Simultaneous 2D & 3D Inline Inspection";
    Vortrag: Smart Automation Vortragsreihe, Wien; 18.05.2018.

  55. L. Traxler, S. Stolc:
    "3D microscopic imaging using Structure-from-Motion";
    Vortrag: IS&T International Symposium on Electronic Imaging 2019: 3D Measurement and Data Processing (MP3D), Burlingame, California, USA; 13.01.2019 - 17.01.2019; in: "IS&T International Symposium on Electronic Imaging 2019", IS&T, Springfield, VA, Vol. 2019 (2019), ISSN: 2470-1173; Paper-Nr. 3DMP-003/3064802, 6 S.

  56. K. Valentin, I. Bajla, S. Stolc:
    "A Performance Comparison of HTM and DBN Models Applied to Visual Object Classification";
    Vortrag: 9th International Conference on Measurement, Smolenice, SK; 27.05.2013 - 30.05.2013; in: "Proceedings ot 9th International Conference on Measurement", Comenius University, Slovak Technical University, Bratislava (2013), ISBN: 978-80-969-672-5-4; S. 23 - 26.

  57. K. Valentin, S. Stolc, R. Huber-Mörk:
    "Improved cost computation with local binary features in a multi-view block matching framework";
    Vortrag: 10th International Conference on Measurement, Smolenice, Slovakia; 25.05.2015 - 28.05.2015; in: "Proceedings of the 10th International Conference on Measurement", (2015), ISBN: 978-80-969672-9-2; S. 21 - 24.

  58. P. Wild, S. Stolc, K. Valentin, F. Daubner, M. Clabian:
    "Compression Effects on Security Document Images";
    Vortrag: 2016 European Intelligence and Security Informatics Conference (EISIC), Uppsala, Schweden; 17.08.2016 - 19.08.2016; in: "Proceedings of the 2016 European Intelligence and Security Informatics Conference (EISIC)", IEEE, Red Hook, NY, USA, 1 (2016), ISBN: 978-1-5090-2856-6; S. 1 - 4.

  59. P. Wild, S. Stolc, K. Valentin, F. Daubner, M. Clabian:
    "On Interoperatbility of Security Document Reading Devices";
    Vortrag: 2016 European Intelligence and Security Informatics Conference (EISIC), Uppsala, Schweden; 17.08.2016 - 19.08.2016; in: "Proceedings of the 2016 European Intellligence and Security Informatics Conference", IEEE, Red Hook, NY, USA, 1 (2016), ISBN: 978-1-5090-2856-6; S. 1 - 7.


Sonstige Vorträge und Posterpräsentationen

2 Datensätze:
  1. E. Bodenstorfer, S. Stolc:
    "Advanced Optical Inspection with Inline Computational Imaging";
    Vortrag: 9th Fraunhofer IMS CMOS Imaging Workshop, Duisburg, Deutschland (eingeladen); 07.05.2019 - 08.05.2019; in: "CMOS Workshop", (2019), S. 1 - 31.

  2. D. Soukup, S. Stolc, R. Huber-Mörk:
    "Analysis of optically variable devices using a photometric light-field approach";
    Vortrag: Vortrag an der TU Graz, Graz; 02.06.2015.


Dissertationen

2 Datensätze:
  1. S. Stolc:
    "Segmentation and Classification of Objects in Images Used in Epo Doping Control";
    Betreuer/in(nen), Begutachter/in(nen): I. Bajla; Institute of Measurement Science Slovak Academy of Sciences, 2009; Rigorosum: 2009.

  2. K. Valentin:
    "Invariant Visual Object Recognition using Hierarchical Temporal Memory";
    Betreuer/in(nen), Begutachter/in(nen): I. Bajla, S. Stolc; Comenius university in Bratislava, 2015; Rigorosum: 13.01.2015.


Diplomarbeiten und Masterthesen

2 Datensätze:
  1. C. Eisserer:
    "Embedded Real-Time 3D Stereo Vision on Multicore Digital Signal Processors";
    Betreuer/in(nen): J. Larsson Träff, S. Stolc, A. Hahn; TU Wien, 2013; Abschlussprüfung: 07.06.2013.

  2. B. Holländer:
    "Line-Scan Light-Field Imaging in Automatic Inspection";
    Betreuer/in(nen): G. Schütz, S. Stolc; TU Wien, 2015; Abschlussprüfung: 14.01.2015.