Ulrich Schwanecke
Ulrich Schwanecke
Professor for Computer Vision and Graphics, RheinMain University of Applied Sciences
Verified email at hs-rm.de - Homepage
Cited by
Cited by
Artefacts in CBCT: a review
R Schulze, U Heil, D Groβ, DD Bruellmann, E Dranischnikow, ...
Dentomaxillofacial Radiology 40 (5), 265-273, 2011
Feature sensitive surface extraction from volume data
LP Kobbelt, M Botsch, U Schwanecke, HP Seidel
Proceedings of the 28th annual conference on Computer graphics and …, 2001
Real-time monocular pose estimation of 3D objects using temporally consistent local color histograms
H Tjaden, U Schwanecke, E Schomer
Proceedings of the IEEE international conference on computer vision, 124-132, 2017
Globally-optimal inlier set maximisation for simultaneous camera pose and feature correspondence
D Campbell, L Petersson, L Kneip, H Li
Proceedings of the IEEE International Conference on Computer Vision, 1-10, 2017
Automatic fish detection in underwater videos by a deep neural network-based hybrid motion learning system
A Salman, SA Siddiqui, F Shafait, A Mian, MR Shortis, K Khurshid, ...
ICES Journal of Marine Science 77 (4), 1295-1307, 2020
Interactive visualization for opportunistic exploration of large document collections
S Lehmann, U Schwanecke, R Dörner
Information Systems 35 (2), 260-269, 2010
Real-time monocular segmentation and pose tracking of multiple objects
H Tjaden, U Schwanecke, E Schömer
European conference on computer vision, 423-438, 2016
Interpolation and approximation with ruled surfaces
J Hoschek, U Schwanecke
The mathematics of surfaces 8, 213-231, 1998
GPU-based volume reconstruction from very few arbitrarily aligned X-ray images
D Gross, U Heil, R Schulze, E Schoemer, U Schwanecke
SIAM Journal on Scientific Computing 31 (6), 4204-4221, 2010
Analysis and design of Hermite subdivision schemes
B Juttler, U Schwanecke
The Visual Computer 18 (5-6), 326-342, 2002
A region-based gauss-newton approach to real-time monocular multiple object tracking
H Tjaden, U Schwanecke, E Schömer, D Cremers
IEEE transactions on pattern analysis and machine intelligence 41 (8), 1797-1812, 2018
Automated detection of patient movement during a CBCT scan based on the projection data
RKW Schulze, M Michel, U Schwanecke
Oral surgery, oral medicine, oral pathology and oral radiology 119 (4), 468-472, 2015
An optimized video system for augmented reality in endodontics: a feasibility study
DD Bruellmann, H Tjaden, U Schwanecke, P Barth
Clinical oral investigations 17 (2), 441-448, 2013
Visualization of workpieces during simulation of milling processes
U Schwanecke, C Sinn
US Patent 7,149,668, 2006
An open-world extension to knowledge graph completion models
H Shah, J Villmow, A Ulges, U Schwanecke, F Shafait
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3044-3051, 2019
A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness
T Gietzen, R Brylka, J Achenbach, K Zum Hebel, E Schömer, M Botsch, ...
PloS one 14 (1), e0210257, 2019
Auto calibration of a cone‐beam‐CT
D Gross, U Heil, R Schulze, E Schoemer, U Schwanecke
Medical physics 39 (10), 5959-5970, 2012
Recognition of dynamic hand gestures with time-of-flight cameras
N Haubner, U Schwanecke, R Dörner, S Lehmann, J Luderschmidt
Proceedings of the Informationstechnische Gesellschaft Im VDE (ITG/GI …, 2010
User interface controller for a computer
U Schwanecke
US Patent App. 12/363,763, 2009
Alignment of cone beam computed tomography data using intra-oral fiducial markers
D Brüllmann, M Seelge, E Schömer, R Schulze, U Schwanecke
Computerized medical imaging and graphics 34 (7), 543-552, 2010
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