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Author Title Type [ Year(Asc)]
2008
Roetmann, K, Schmunk, W, Garbe, C S and Beushausen, V (2008). Micro-flow analysis by molecular tagging velocimetry and planar raman-scattering. Exp. Fluids. 44 419--430
Menze, B H, Kelm, B Michael, Weber, M - A, Bachert, P and Hamprecht, F A (2008). Mimicking the human expert: pattern recognition for an automated assessment of data quality in MRSI. Magnetic Resonance in Medicine. 59 1457-1466PDF icon Technical Report (1.45 MB)
Enzweiler, M and Gavrila, D M (2008). A Mixed Generative-Discriminative Framework for Pedestrian Classification. Proc. Int. Conf. Comp. Vision and Patt. Recog. (CVPR)
Enzweiler, M and Gavrila, D M (2008). Monocular Pedestrian Detection: Survey and Experiments. IEEE Transactions on Pattern Analysis and Machine Intelligence, available online: IEEE Computer Society Digital Library, http://doi.ieeecomputersociety.org/10.1109/TPAMI.2008.260
Enzweiler, M, Kanter, P and Gavrila, D M (2008). Monocular Pedestrian Recognition Using Motion Parallax. Proc. IEEE Symposium on Intelligent Vehicles. 792-797
Kondermann, D, Kondermann, C, Berthe, A, Kertzscher, U and Garbe, C S (2008). Motion Estimation Based on a Temporal Model of Fluid Flows. 13th International Symposium on Flow Visualization. 1-10
Renard, B Y, Kirchner, M, Steen, H, Steen, J A J and Hamprecht, F A (2008). NITPICK: Peak Identification for Mass Spectrometry Data. BMC Bioinformatics. 9 355PDF icon Technical Report (643.89 KB)
Garbe, C S, Krajsek, K, Pavlov, P, Andres, B, Mühlich, M, Stuke, I, Mota, C, Böhme, M, Haker, M, Schuchert, T, Scharr, H, Aach, T and Barth, E (2008). Nonlinear Analysis of Multi-Dimensional Signals. Mathematical Methods in Signal Processing and Digital Image Analysis. Springer. 231-288PDF icon Technical Report (7.11 MB)
Garbe, C S, Krajsek, K, Pavlov, P, Andres, B, Mühlich, M, Stuke, I, Mota, C, Böhme, M, Haker, M, Schucher, T, Scharr, H, Aach, T and Barth, E (2008). Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns. Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer. 231-288
Jehle, M and Jähne, B (2008). A novel method for three-dimensional three-component analysis of flow close to free water surfaces. Exp. Fluids. 44 469--480
Griessinger, M (2008). Oject Detection With Generic Features: An Application To Sted Microscopy. University of Heidelberg
Garbe, C S, Roetmann, K, Beushausen, V and Jähne, B (2008). An optical flow MTV based technique for measuring microfluidic flow in the presence of diffusion and Taylor dispersion. Exp. Fluids. 44 439--450
Klappstein, J (2008). Optical-Flow based Detection of Moving Objects in Traffic Scenes. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/8591/
Schmidt, M (2008). Optische Methoden Zur Form- Und Positionserkennung Von Körpern In Werkzeugmaschinen. Fried­rich-Schil­ler-Uni­ver­si­tät Je­na
Kohli, P, Shekhovtsov, A, Rother, C, Kolmogorov, V and Torr, P (2008). On partial optimality in multi-label MRFs. Proceedings of the 25th International Conference on Machine Learning. 480–487
Sauer, P (2008). Pattern Recognition On Statistically Textured Surfaces. University of Heidelberg
Boppel, S (2008). Peak Identification For Liquid Chromatography And Mass Spectrometry. University of Heidelberg
Munder, S, Schnörr, C and Gavrila, D M (2008). Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models. IEEE Trans. Intell. Transp. Systems. 9 333-343
Vlasenko, A and Schnörr, C (2008). Physically Consistent Variational Denoising of Image Fluid Flow Estimates. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 406--415PDF icon Technical Report (1.6 MB)
Vlasenko, A and Schnörr, C (2008). Physically Consistent Variational Denoising of Image Fluid Flow Estimates. Pattern Recognition – 30th DAGM Symposium. Springer Verlag. 5096 406–415
Geiler, T (2008). Polarisationsbildgebung in der industriellen Qualitätskontrolle. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/8533
Kondermann, C, Kondermann, D and Garbe, C S (2008). Postprocessing of optical flows via surface measures and motion inpainting. Pattern Recognition. 5096 355--364
Jäger, M and Hamprecht, F A (2008). Principal Component Imagery for the Quality Monitoring of Dynamic Laser Welding Processes. IEEE Transactions on Industrial Electronics. 56:4 1307-1313
Jähne, (2008). Prinzipien und Verfahren zur Aufnahme spektraler Bilddaten - Vereinfachte Bildanalyse. QZ. 53 45--48
Schmidt, M, Jehle, M and Jähne, B (2008). Range flow estimation based on photonic mixing device data. Int. J. Intelligent Systems Technologies and Applications. 5 380--392
Köthe, (2008). Reliable Low-Level Image Analysis. Habilitation thesis. Department Informatik, University of Hamburg, HamburgPDF icon Technical Report (12.44 MB)
König, T, Menze, B H, Kirchner, M, Monigatti, F, Parker, K C, Patterson, T, Steen, J J, Hamprecht, F A and Steen, H (2008). Robust Prediction of the MASCOT Score for an Improved Quality Assessment in Mass Spectrometric Proteomics. Journal of Proteome Research. 7 3708-3717PDF icon Technical Report (1.16 MB)
Friedrich, O, Weber, C, Both, M, von Wegner, F, Chamberlain, J S, Garbe, C S and Fink, R H A (2008). Sarcomere Structure and Motor-Protein Function in an Animal Model of Duchenne Muscular Dystrophy (mdx mouse). 87th Annual Meeting of the German Physiological Society
Ommer, B (2008). Seeing The Objects Behind The Parts: Learning Compositional Models For Visual Recognition. VDM Verlag. http://www.amazon.com/Seeing-Objects-Behind-Parts-Compositional/dp/3639021444/ref=sr_1_1?ie=UTF8&s=books&qid=1232659136&sr=1-1
Andres, B, Köthe, U, Helmstaedter, M, Denk, W and Hamprecht, F A (2008). Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification. Pattern Recognition. 30th DAGM Symposium Munich, Germany, June 10-13, 2008. Proceedings. Springer. 5096 142-152PDF icon Technical Report (1.21 MB)
Jähne, (2008). Signifikanter Umbruch zeichnet sich ab - Aktuelle Entwicklungen in der Bildverarbeitung. http://www.vdma-verlag.com/home/p427.html
Huhn, F (2008). A Simple Instrument For The Measurement Of The Slope And Height Distributions Of Small Scale Wind-Driven Water Waves. Institute for Environmental Physics, University of Heidelberg
Petra, S, Schröder, A, Wieneke, B and Schnörr, C (2008). On Sparsity Maximization in Tomographic Particle Image Reconstruction. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 294--303PDF icon Technical Report (1014.71 KB)
Petra, S, Schröder, A, Wieneke, B and Schnörr, C (2008). On Sparsity Maximization in Tomographic Particle Image Reconstruction. Pattern Recognition – 30th DAGM Symposium. Springer Verlag. 5096 294–303
Schmidt, M (2008). Spatiotemporal Analysis of Range Imagery. IWR, Fakultät für Physik und Astronomie, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/8879/

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