Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling


Umberto Michieli, Maria Camporese, Andrea Agiollo, Giampaolo Pagnutti, Pietro Zanuttigh

Among the various segmentation techniques, a widely used family of approaches are the ones based on region merging, where an initial oversegmentation is progressively refined by joining segments with similar characteristics. Instead of using deterministic approaches to decide which segments are going to be merged we propose to exploit a convolutional neural network which takes a couple of segments as input and decides whether to join or not the segments. We fitted this idea into an existent iterative semantic segmentation scheme for RGB-D data. We were able to lower the number of free parameters and to greatly speedup the procedure while achieving comparable or even higher results, thus allowing for its usage in free navigation systems. Furthermore, our method could be extended straightforwardly to other fields where region merging strategies are exploited.

13th International Conference on Distributed Smart Cameras (ICDSC2019), pages 9:1—9:6, September 2019.
Nicola Conci, Caifeng Shan, Lucio Marcenaro, Jungong Han (eds.), ACM.

@inproceedings{rgbdsemanticsegmentation-icdsc2019,
author = {Michieli, Umberto and Camporese, Maria and Agiollo, Andrea and Pagnutti, Giampaolo and Zanuttigh, Pietro},
booktitle = {13th International Conference on Distributed Smart Cameras (ICDSC2019)},
doi = {10.1145/3349801.3349810},
editor = {Conci, Nicola and Shan, Caifeng and Marcenaro, Lucio and Han, Jungong},
location = {Trento, Italy},
month = {9--11~} # sep,
pages = {9:1--9:6},
publisher = {{ACM}},
title = {Region Merging Driven by Deep Learning for {RGB-D} Segmentation and Labeling},
url = {https://doi.org/10.1145/3349801.3349810},
year = 2019}

Publication

— authors

Umberto Michieli, Maria Camporese, Andrea Agiollo, Giampaolo Pagnutti, Pietro Zanuttigh

— editors

Nicola Conci, Caifeng Shan, Lucio Marcenaro, Jungong Han

— status

published

— sort

paper in proceedings

Venue

— volume

13th International Conference on Distributed Smart Cameras (ICDSC2019)

— pages

9:1—9:6

— article no.

9

— publication date

September 2019

URLs

original page

Identifiers

— DOI

10.1145/3349801.3349810

— DBLP

conf/icdsc/MichieliCAPZ19

BibTeX

— BibTeX ID
rgbdsemanticsegmentation-icdsc2019
— BibTeX category
inproceedings

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