Segmentation and semantic labelling of RGBD data with convolutional neural networks and surface fitting

Segmentation and semantic labelling of RGBD data with convolutional neural networks and surface fitting

We present an approach for segmentation and semantic labelling of RGBD data exploiting together geometrical cues and deep learning techniques. An initial over‐segmentation is performed using spectral clustering and a set of non‐uniform rational B‐spline surfaces is fitted on the extracted segments....

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Bibliographic Details
Main Authors: Giampaolo Pagnutti, Ludovico Minto, Pietro Zanuttigh
Format: Article
Language:English
Published: Wiley 2017-12-01
Series:IET Computer Vision
Subjects:
semantic labelling
RGBD data
convolutional neural networks
surface fitting
geometrical cues
deep learning technique
Online Access:https://doi.org/10.1049/iet-cvi.2016.0502

Internet

https://doi.org/10.1049/iet-cvi.2016.0502

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