Biblio
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Extracting egomotion from optic flow: limits of accuracy and neural matched filters.
(Zanker, J. M., & Zeil J., Ed.).{Motion Vision: Computational, Neural and Ecological Constraints}. 143-168.
Dahmen, Franz, Krapp_2001_Extracting egomotion from optic flow- limits of accuracy and neural matched filters.pdf (223.04 KB)
(2001). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
A Virtual-Reality 3d-Laser-Scan Simulation.
BW-CAR| SINCOM. 68.
(2015). On-line reconstruction of CAD geometry.
International Conference on 3d Vision.
OnlineReconstruction.pdf (392.38 KB)
(2013). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Online triangulation of laser-scan data.
(Garimella, R., Ed.).Proceedings of the 17th International Meshing Roundtable 2008.
OnlineTriang.pdf (8.39 MB)
(2008). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Survey on benchmarks for a GPU based multi camera stereo matching algorithm.
Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop.
BenchmarkStereoMatching.pdf (3.63 MB)
(2011). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
On-line CAD Reconstruction with Accumulated Means of Local Geometric Properties.
(Boissonnat, J-D., Cohen A., Gibaru O., Gout C., Lyche T., Mazure M-L., et al., Ed.).Curves and Surfaces, 8th International Conference, Paris 2014. 181-201.
OnlineCADReconst.pdf (3.18 MB)
(2015). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
An accurate real-time multi-camera matching on the GPU for 3d reconstruction.
Journal of WSCG. 19, 9-16.
RealTimeMultiCamera.pdf (770.39 KB)
(2011). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Real-time triangulation of point streams.
Engineering with Computers. 27, 67-80.
RTTriangulationPointStreams.pdf (1.05 MB)
(2011). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Percolation concepts in solid state ionics.
Physica A: Statistical Mechanics and its Applications. 266, 229–237.
(1999). Stochastic modelling of ion diffusion in complex systems.
Anomalous Diffusion From Basics to Applications. 175–185.
(1999). Navigation in real and virtual environments: judging orientation and distance in a large-scale landscape.
(Goebel, M., Lang U., Landauer J., & Walper M., Ed.).{Virtual Environment 98: Proc. of the Eurographics Workshop 1998}. 124 – 133.
(1998). Deep probabilistic modelling for energy forecasting.
Poster_Deep probabilistic modelling for energy forecasting TTT.pdf (839.27 KB)
(2023). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Know When You Don't Know: A Robust Deep Learning Approach in the Presence of Unknown Phenotypes.
Assay and drug development technologies. 16, 343–349.
adt.2018.859.pdf (711.06 KB)
(2018). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Diffusion in polymer electrolytes and the dynamic percolation model.
Solid state ionics. 149, 125–130.
(2002). Using Community Structure for Complex Network Layout.
arXiv preprint arXiv:1207.6282.
(2012). Charge Transport in Polymer Ion Conductors: a Monte Carlo Study.
arXiv preprint cond-mat/0106197.
(2001).
(2003).
(2020). JOINT\_FORCES: Unite Competing Sentiment Classifiers with Random Forest..
SemEval@ COLING. 366–369.
(2014). Model studies of diffusion in glassy and polymer ion conductors.
arXiv preprint cond-mat/0106196.
(2001). Coupled ion and network dynamics in polymer electrolytes: Monte Carlo study of a lattice model.
The Journal of chemical physics. 121, 12732–12739.
(2004).
(1998). Deep Learning on a Raspberry Pi for Real Time Face Recognition..
Eurographics (Posters). 11–12.
(2015). Effective medium theory of conduction in stretched polymer electrolytes.
arXiv preprint cond-mat/0202165.
(2002).
(2020).