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Publicatie

Deep hybrid approach for 3D plane segmentation

Boekbijdrage - Boekhoofdstuk Conferentiebijdrage

We address the limitations of Deep learning models for 3D
geometry segmentation by using Conditional Random fields (CRF). We
show that CRFs can take advantage of the neighbouring structure of point
clouds to assist the learning of the Deep Learning models (DL). Our hybrid
PN-CRF model is able to learn more optimal weights by taking advantage
of equal-segmentation assignments to neighbouring points. As a result,
it increases the robustness in the model specially for segmentation tasks
where correctly detecting the boundaries between segmentations is very
important.
Boek: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Volume: 27
Aantal pagina's: 6
ISBN:978-287-587-065-0
Jaar van publicatie:2019
Toegankelijkheid:Open