LoginThe 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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