2013 [13] A. Zweng and M. Kampel – "Introducing a Inter-frame Relational Feature Model for Pedestrian Detection", Scandinavian Conferences on Image Analysis (SCIA 2013), pp.225-235, Espoo, Finnland, June 2013. [12] A. Zweng, T. Rittler and M. Kampel – "A Flexible Relational Feature Model for Fall Detection", 10th International Conference on Signal Processing, Pattern Recognition and … Continue reading Andreas Zweng Publications
2018 Keglevic, M., Fiel, S. & Sablatnig, R. Learning Features for Writer Retrieval and Identification using Triplet CNNs, 16th International Conference on Frontiers in Handwriting Recognition (ICFHR 2018), 2018, 211-216 reposiTUm Scheidl, H., Fiel, S. & Sablatnig, R. Word Beam Search: A Connectionist Temporal Classification Decoding Algorithm, 16th International Conference on Frontiers in Handwriting Recognition … Continue reading Stefan Fiel Publications
Markus Diem 2016 [39] Michael Reiter, Paolo Rota, Florian Kleber, Markus Diem, Stefanie Groeneveld-Krentz, and Michael Dworzak, Clustering of Cell Populations in Flow Cytometry Data using a Combination of Gaussian Mixtures. Pattern Recognition, 60, 1029-1040, 2016 [38] Markus Diem, Fabian Hollaus, and Robert Sablatnig. MSIO: MultiSpectral Document Image BinarizatIOn. In Proceedings of the 12th IAPR … Continue reading Markus Diem Publications
The CVL ruling dataset was synthetically generated to allow for comparing different ruling removal methods. It is based on the ICDAR 2013 Handwriting Segmentation database [1]. It was generated by synthetically adding four different ruling images resulting in a total of 600 test images. The pixel values are: 255 background 155 ruling 100 text 0 … Continue reading Ruling Database