About
I am a PhD candidate in computer science at the Pattern Recognition and Image Processing Group, Vienna University of Technology, Austria.
I am interested in graph theory (especially its applications in the field of image processing and pattern recognition) and the recognition and representation of structure in images.
In the past I have worked with graph based representations, mainly with topological graphs such as Reeb graphs. In my Master thesis I focused on a graph based representation of roots for the purpose of
plant phenotyping. In my PhD studies I now investigate tools of analysis and representation for spatio-temporal classes of data. My thesis will focus on the identification
of structure from images or 3D data and on the dynamic (graph-based) representation of this structure as it changes or develops over time. Currently, I am working on extensions to skeletons,
and on the computation of topological graphs based on local features.
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Publications
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I. Janusch, W. G. Kropatsch. LBP Scale Space Origins for Shape Classification. In Proceedings of the 22nd Computer Vision Winter Workshop, Feb. 2017. |
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M. Cerman, I. Janusch, R. Gonzalez-Diaz, W. G. Kropatsch. Topology-based image segmentation using LBP pyramids. In Machine Vision and Applications, 1-14, July 2016. |
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I. Janusch, W. G. Kropatsch. Persistence based on LBP Scale Space. In Proceedings of the 6th International Workshop on Computational Topology in Image Context (CTIC2016), June 2016. |
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C. Körner, I. Janusch, W. G. Kropatsch. Noise Robustness of LBP Pyramids. In Proceedings of the OAGM & ARW Joint Workshop on "Computer Vision and Robotics", May 2016. |
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I. Janusch, W. G. Kropatsch. Shape Classification according to LBP Persistence of Critical Points. In Proceedings of the 19th IAPR-TC18 Workshop on Discrete Geometry for Computer Imagery (DGCI2016), April 2016. |
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N.M. Artner, I. Janusch, W. G. Kropatsch. Evaluating and Grading Students in Large-Scale Image Processing Courses. IEEE Computer Graphics and Application, 35(15), 101-105, Oct. 2015. |
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I. Janusch, W. G. Kropatsch. Reeb Graphs through Local Binary Patterns. In Proceedings of the 10th IAPR-TC15 Workshop on Graph-based Representations in Pattern Recognition (GbR2015), May 2015. |
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I. Janusch, W. G. Kropatsch. Novel Concepts for Recognition and Representation of Structure in Spatio-Temporal Classes of Images. In Proceedings of the 20th Computer Vision Winter Workshop, Feb. 2015. |
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I. Janusch, W. G. Kropatsch, and W. Busch. Topological image analysis and (normalised) representations for plant phenotyping. In SYNASC 2014 Workshop on Computational Topology in Image Context, pages 579 - 586, Sept. 2014.
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Ines Janusch, Walter G. Kropatsch, Wolfgang Busch, and Daniela Ristova. Representing roots on the basis of reeb graphs in plant phenotyping. In ECCV 2014 Workshop on Computer Vision Problems in Plant Phenotyping, in press, Sept. 2014.
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I. Janusch. Reeb Graph Based Image Representation for Phenotyping of Plants. Master Thesis, Vienna University of Technology, Austria. June 2014.
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I. Janusch, W. G. Kropatsch, and W. Busch. Reeb graph based examination of root development. In Proceedings of the 19th Computer Vision Winter Workshop, pages 43 - 50, Feb. 2014.
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I. Janusch. Examination of root development by means of topological image analysis. Technical Report 131, PRIP, TU Wien, Oct. 2013.
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Teaching
Term |
Course |
Type |
ID |
SS 2017 |
Pattern Recognition |
Lecture and Exercise |
186.845 |
WS 2016/2017 |
Introduction to Image Processing |
Exercise |
186.841 |
WS 2016/2017 |
Scientific Work |
Seminar |
180.765 |
WS 2016/2017 |
Selected Topics of Pattern Recognition |
Lecture and Exercise |
183.111 |
SS 2016 |
Pattern Recognition |
Lecture and Exercise |
186.845 |
SS 2016 |
Image Understanding |
Lecture and Exercise |
186.846 |
WS 2015/2016 |
Introduction to Image Processing |
Exercise |
186.841 |
WS 2015/2016 |
Scientific Work |
Seminar |
186.824 |
SS 2015 |
Pattern Recognition |
Lecture and Exercise |
186.845 |
SS 2015 |
Image Understanding |
Lecture and Exercise |
186.846 |
WS 2014/2015 |
Introduction to Image Processing |
Exercise |
186.841 |
WS 2014/2015 |
Scientific Work |
Seminar |
186.824 |
Biography
Education
since 2014 |
PhD: Computer Science, Vienna University of Technology, Austria |
2009 - 2014 |
Master of Science (Dipl.-Ing.): Visual Computing, Vienna University of Technology, Austria |
2005 - 2009 |
Bachelor of Science: Computer Science in Media, Vienna University of Technology, Austria |
1997 - 2005 |
General qualification for university entrance: BG & BRG Piraristengasse 2, 3500 Krems, Austria |
Career
2014 - 2017 |
Pattern Recognition and Image Processing Group, Vienna University of Technology, University Assistant (PreDoc) |
2012 - 2014 |
Institute of Computer Graphics and Algorithms, Vienna University of Technology, Tutor for Introduction to Visual Computing and Introduction to Image Processing |
2012 - 2014 |
sevennineseven KG, Team Assistant |
2011 - 2012 |
Pattern Recognition and Image Processing Group, Vienna University of Technology, Study Assistant |
2010 - 2012 |
7Twenty GmbH, Team Assistant |
2005 - 2010 |
SAP Österreich GmbH, Assistant (Sales Operations) |