The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions (bibtex)
by D Muhle, L Koestler, N Demmel, F Bernard and D Cremers
Reference:
The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions (D Muhle, L Koestler, N Demmel, F Bernard and D Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. ([project page])
Bibtex Entry:
@string{cvpr="IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"}
@inproceedings{muhle2022pnec,
 author = {D Muhle and L Koestler and N Demmel and F Bernard and D Cremers},
 title = {The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions},
 eprint = {2204.02256},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2022},
 keywords = {pnec, vo, vslam},
}
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The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions (bibtex)
The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions (bibtex)
by D Muhle, L Koestler, N Demmel, F Bernard and D Cremers
Reference:
The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions (D Muhle, L Koestler, N Demmel, F Bernard and D Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. ([project page])
Bibtex Entry:
@string{cvpr="IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"}
@inproceedings{muhle2022pnec,
 author = {D Muhle and L Koestler and N Demmel and F Bernard and D Cremers},
 title = {The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions},
 eprint = {2204.02256},
 eprinttype = {arXiv},
 eprintclass = {cs.CV},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2022},
 keywords = {pnec, vo, vslam},
}
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Nikolaus Demmel

AlumniTechnical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Fax: +49-89-289-17757
Office: 
Mail: demmeln@in.tum.de

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Research

Check out the projects I'm involved in:

Bachelor Theses / Master Theses / IDP / Guided Research

If you are interested in doing a Bachelor Thesis, Master Thesis, Interdisciplinary Project (IDP) or Guided Research in the field of SLAM, Visual Odometry, 3D Reconstruction, or Sensor fusion, feel free to contact me via email. Please include your recent transcript and a brief CV, so I know a bit about your background and courses taken. Depending on the research project, some experience with C++ and Computer Vision is usually required.

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Student Projects

Previously completed student projects include: