TY - JOUR A1 - Karmonik, C. A1 - Strother, C. M. A1 - Chen, X. A1 - Deinzer, Frank A1 - Klucznick, R. A1 - Mawad, M. E. T1 - Stent-Assisted Coiling of Intracranial Aneurysms Aided by Virtual Parent Artery Reconstruction JF - AJNR American Journal of Neuroradiology Y1 - 2005 UR - http://www.ajnr.org/content/ajnr/26/9/2368.full.pdf VL - 26 IS - 6 SP - 2368 EP - 2370 ER - TY - CHAP A1 - Deinzer, Frank A1 - Denzler, Joachim A1 - Derichs, Christia A1 - Niemann, Heinrich ED - Narayanan, P.J. ED - Nayar, Shree K. ED - Shum, Heung-Yeung T1 - Aspects of Optimal Viewpoint Selection and Viewpoint Fusion T2 - Computer Vision – ACCV 2006 Y1 - 2006 UR - https://www.academia.edu/download/42129003/Aspects_of_Optimal_Viewpoint_Selection_a20160205-16346-xbaya7.pdf SN - 3-540-31244-7 VL - 3852 SP - 902 EP - 912 ER - TY - CHAP A1 - Deinzer, Frank A1 - Derichs, Christian A1 - Denzler, Joachim A1 - Niemann, Heinrich T1 - Integrated Viewpoint Fusion and Viewpoint Selection for Optimal Object Recognition T2 - British Machine Vision Conference 2006 Y1 - 2006 UR - https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=31338fb98333d68463ddda4846c7a3ff55a2202a SP - 287 EP - 296 ER - TY - CHAP A1 - Feldmann, Tobias A1 - Bouattour, Sahla A1 - Paulus, Dietrich A1 - Deinzer, Frank T1 - Kombination verschiedener Ähnlichkeitsmaße für die 2D/3D-Registrierung von Röntgenbildern mittels Demokratischer Integration T2 - Bildverarbeitung für die Medizin 2006, Algorithmen - Systeme - Anwendungen N2 - Für die 2D/3D-Registrierung von Bilddatensätzen eines Patienten werden verschiedene intensitätsbasierte Ähnlichkeitsmaße eingesetzt. Diese haben den Nachteil, dass sie nur auf bestimmten Bilddaten gute Ergebnisse liefern und zusätzlich heuristisch parameterisiert werden müssen. In diesem Beitrag wird ein neues Verfahren vorgestellt, dass beliebig viele Ähnlichkeitsmaße integriert und automatisch das für den jeweiligen Bilddatensatz geeignetste am höchsten gewichtet. Dazu werden die freien Parameter der Maße an das Bildmaterial automatisch adaptiert. Unsere Experimente belegen die Wirksamkeit der Methode. Y1 - 2006 SN - 978-3-540-32136-1 SN - 978-3-540-32137-8 U6 - https://doi.org/10.1007/3-540-32137-3_46 SP - 226 EP - 230 PB - Springer CY - Berlin, Heidelberg ER - TY - JOUR A1 - Bernhardt, Philipp A1 - Lendl, Markus A1 - Deinzer, Frank T1 - New Technologies to Reduce Pediatric Radiation Doses JF - Pediatric Radiology Y1 - 2006 U6 - https://doi.org/10.1007/s00247-006-0212-4 VL - 36 IS - Supplement 1 SP - 212 EP - 215 ER - TY - JOUR A1 - Kubias, Alexander A1 - Deinzer, Frank A1 - Feldmann, Tobias A1 - Paulus, Dietrich A1 - Schreiber, Bernd A1 - Brunner, Thomas T1 - 2D/3D Image Registration on the GPU JF - Pattern Recognition and Image Analysis Y1 - 2008 U6 - https://doi.org/10.1134/S1054661808030048 VL - 18 IS - 3 SP - 381 EP - 389 ER - TY - CHAP A1 - Fieselmann, Andreas A1 - Lautenschläger, Stefan A1 - Deinzer, Frank A1 - John, Matthias A1 - Poppe, Björn T1 - Automated 3D Segmentation of the Esophagus For Planning of Atrial Ablation Therapy T2 - 39. Wissenschaftliche Jahrestagung der DGMP in Oldenburg Y1 - 2008 ER - TY - CHAP A1 - Fieselmann, Andreas A1 - Lautenschläger, Stefan A1 - Deinzer, Frank A1 - Poppe, Björn T1 - Automatic Detection of Air Holes Inside the Esophagus in CT Images T2 - Bildverarbeitung für die Medizin 2008, Algorithmen - Systeme - Anwendungen Y1 - 2008 UR - http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-347/p397.pdf SP - 397 EP - 401 ER - TY - JOUR A1 - Fieselmann, Andreas A1 - Lautenschläger, Stefan A1 - Deinzer, Frank A1 - John, Matthias A1 - Poppe, Björn T1 - Esophagus Segmentation by Spatially-Constrained Shape Interpolation JF - Bildverarbeitung für die Medizin 2008, Algorithmen - Systeme - Anwendungen Y1 - 2008 UR - http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-347/p247.pdf SP - 247 EP - 251 ER - TY - JOUR A1 - Platzer, Esther A1 - Deinzer, Frank A1 - Paulus, Dietrich A1 - Denzler, Joachim T1 - 3D Blood Flow Visualization from 2D Angiograms JF - Bildverarbeitung für die Medizin 2008, Algorithmen - Systeme - Anwendungen Y1 - 2008 SP - 288 EP - 292 ER - TY - CHAP A1 - Kubias, Alexander A1 - Deinzer, Frank A1 - Feldmann, Tobias A1 - Paulus, Dietrich A1 - Schreiber, Bernd A1 - Brunner, Thomas T1 - 2D/3D Image Registration on the GPU T2 - Proceedings of the 7th Open German/Russian Workshop on Pattern Recognition and Image Understanding Y1 - 2007 ER - TY - CHAP A1 - Kubias, Alexander A1 - Deinzer, Frank A1 - Feldmann, Tobias A1 - Paulus, Dietrich T1 - Extended Global Optimization Strategy for Rigid 2D/3D Image Registration T2 - Computer Analysis of Images and Patterns, 12th International Conference, CAIP 2007 Y1 - 2007 VL - 4673 SP - 759 EP - 767 ER - TY - CHAP A1 - Kubias, Alexander A1 - Deinzer, Frank A1 - Kreiser, Matthias A1 - Paulus, Dietrich T1 - Efficient Computation of Histograms on the GPU T2 - 23rd Spring Conference on Computer Graphics Y1 - 2007 UR - https://dl.acm.org/doi/pdf/10.1145/2614348.2614377 ER - TY - JOUR A1 - Werner, Max A1 - Bullmann, Markus A1 - Fetzer, Toni A1 - Deinzer, Frank T1 - Unified Probabilistic and Similarity-Based Position Estimation from Radio Observations JF - Sensors N2 - We propose a modeling approach for position estimation based on the observed radio propagation in an environment. The approach is purely similarity-based and therefore free of explicit physical assumptions. What distinguishes it from classical related methods are probabilistic position estimates. Instead of just providing a point estimate for a given signal sequence, our model returns the distribution of possible positions as continuous probability density function, which allows for appropriate integration into recursive state estimation systems. The estimation procedure starts by using a kernel to compare incoming data with reference recordings from known positions. Based on the obtained similarities, weights are assigned to the reference positions. An arbitrarily chosen density estimation method is then applied given this assignment. Thus, a continuous representation of the distribution of possible positions in the environment is provided. We apply the solution in a Particle Filter (PF) system for smartphone-based indoor localization. The approach is tested both with radio signal strength (RSS) measurements (Wi-Fi and Bluetooth Low Energy RSSI) and round-trip time (RTT) measurements, given by Wi-Fi Fine Timing Measurement. Compared to distance-based models, which are dedicated to the specific physical properties of each measurement type, our similarity-based model achieved overall higher accuracy at tracking pedestrians under realistic conditions. Since it does not explicitly consider the physics of radio propagation, the proposed model has also been shown to work flexibly with either RSS or RTT observations. Y1 - 2025 U6 - https://doi.org/https://doi.org/10.3390/s25134092 SN - 1424-8220 VL - 25 IS - 13 PB - MDPI AG ER - TY - CHAP A1 - Werner, Max A1 - Bullmann, Markus A1 - Fetzer, Toni A1 - Meißner, Pascal A1 - Deinzer, Frank T1 - Interpolation of Position Estimates for Radio Fingerprinting using Gaussian Process Regression T2 - 2025 International Conference on Indoor Positioning and Indoor Navigation (IPIN) Y1 - 2025 U6 - https://doi.org/10.1109/IPIN66788.2025.11213294 SP - 1 EP - 6 PB - IEEE ER - TY - CHAP A1 - Köping, Lukas A1 - Mühsam, Thomas A1 - Ofenberg, Christian A1 - Czech, Bernhard A1 - Bernard, Michael A1 - Schmer, Jens A1 - Deinzer, Frank T1 - Indoor Naviagtion Using Step and Turn Detection Together With Floor Map Information T2 - Proceedings of the 1st International Workshop on Uncertainty in Ambient Intelligence Y1 - 2013 ER - TY - CHAP A1 - Huffstadt, Karsten A1 - Fetzer, Toni A1 - Petry, Christian A1 - Deinzer, Frank T1 - 3D Interaction Design: Increasing the stimulus-response correspondence by using stereoscopic vision T2 - Proceedings of the 11th IEEE International Conference on Automatic Face and Gesture Recognition Conference and Workshops N2 - This paper presents a hand-based interaction approach for grabbing and manipulating virtual objects within immersive virtual environments. Considering the stimulus-response of humans, interacting with objects is easier if depth information is provided by stereoscopic vision. However, most people are used to work in monoscopic virtual environments. Therefore, we propose a case study, to analyze if an interaction approach using stereoscopic vision, compared to a conventional monoscopic vision, results in a higher user acceptance and stimulus-response correspondence. Our interaction approach is based on a robust and fast running 3D hand- and head-tracking provided by Microsoft's Kinect. We present a simple non-collision-based method for grabbing and manipulating objects within a 3D virtual environment. By tracking the head, the user is able to move within the environment and interact depending on his current position. The use of stereoscopic vision allows a natural and instinctive hand interaction with the augmented object. Finally, the experimental results and studies show how the use of stereoscopic vision improves the mental mapping and thus the user acceptance and stimulus-response correspondence in consideration of using the here presented interaction approach. Y1 - 2015 U6 - https://doi.org/10.1109/FG.2015.7163120 VL - 1 SP - 1 EP - 6 ER - TY - CHAP A1 - Fetzer, T. A1 - Ebner, F. A1 - Köping, L. A1 - Grzegorzek, M. A1 - Deinzer, Frank T1 - Recovering From Sample Impoverishment in Context of Indoor Localisation T2 - International Conference on Indoor Positioning and Indoor Navigation (IPIN 2017) Y1 - 2017 UR - https://ieeexplore.ieee.org/iel7/8106926/8115856/08115863.pdf SP - 1 EP - 8 ER - TY - CHAP A1 - Köping, Lukas A1 - Grzegorzek, Marcin A1 - Deinzer, Frank A1 - Bobek, Szymon A1 - Slazynski, Mateusz A1 - Nalepa, Grzegorz T1 - Improving indoor localization by user feedback T2 - 18th International Conference on Information Fusion (Fusion) Y1 - 2015 UR - https://ieeexplore.ieee.org/iel7/7229502/7266535/07266675.pdf SP - 1053 EP - 1060 ER - TY - CHAP A1 - Ebner, F. A1 - Fetzer, T. A1 - Deinzer, Frank A1 - Grzegorzek, M. T1 - On Prior Navigation Knowledge in Multi Sensor Indoor Localisation T2 - International Conference on Information Fusion (FUSION 2016) Y1 - 2016 UR - https://www.researchgate.net/profile/Toni-Fetzer/publication/306118756_On_Prior_Navigation_Knowledge_in_Multi_Sensor_Indoor_Localisation/links/57da7d8508aeea195932334f/On-Prior-Navigation-Knowledge-in-Multi-Sensor-Indoor-Localisation.pdf ER -