Dr Amir Atapour-Abarghouei amir.atapour-abarghouei@durham.ac.uk
Assistant Professor
DepthComp: Real-time Depth Image Completion Based on Prior Semantic Scene Segmentation
Atapour-Abarghouei, A.; Breckon, T.P.
Authors
Professor Toby Breckon toby.breckon@durham.ac.uk
Professor
Abstract
We address plausible hole filling in depth images in a computationally lightweight methodology that leverages recent advances in semantic scene segmentation. Firstly, we perform such segmentation over a co-registered color image, commonly available from stereo depth sources, and non-parametrically fill missing depth values based on a multipass basis within each semantically labeled scene object. Within this formulation, we identify a bounded set of explicit completion cases in a grammar inspired context that can be performed effectively and efficiently to provide highly plausible localized depth continuity via a case-specific non-parametric completion approach. Results demonstrate that this approach has complexity and efficiency comparable to conventional interpolation techniques but with accuracy analogous to contemporary depth filling approaches. Furthermore, we show it to be capable of fine depth relief completion beyond that of both contemporary approaches in the field and computationally comparable interpolation strategies.
Citation
Atapour-Abarghouei, A., & Breckon, T. (2017). DepthComp: Real-time Depth Image Completion Based on Prior Semantic Scene Segmentation. In Proc. British Machine Vision Conference (208.1-208.13). https://doi.org/10.5244/C.31.58
Conference Name | 28th British Machine Vision Conference (BMVC) 2017 |
---|---|
Conference Location | London, UK |
Start Date | Sep 4, 2017 |
End Date | Sep 7, 2017 |
Acceptance Date | Jul 1, 2017 |
Online Publication Date | Sep 4, 2017 |
Publication Date | 2017 |
Deposit Date | Jul 20, 2017 |
Publicly Available Date | Mar 29, 2024 |
Pages | 208.1-208.13 |
Book Title | Proc. British Machine Vision Conference |
DOI | https://doi.org/10.5244/C.31.58 |
Keywords | depth filling, RGB-D, surface relief, hole filling, surface completion, 3D texture, depth completion, depth map, disparity hole filling |
Public URL | https://durham-repository.worktribe.com/output/1145974 |
Publisher URL | https://breckon.org/toby/publications/papers/abarghouei17depthcomp.pdf |
Files
Accepted Conference Proceeding
(4.9 Mb)
PDF
Copyright Statement
© 2017. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic forms.
You might also like
Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery
(2023)
Conference Proceeding
A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip
(2022)
Conference Proceeding
“Just Drive”: Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving
(2021)
Conference Proceeding
Transforming Fake News: Robust Generalisable News Classification Using Transformers
(2021)
Conference Proceeding
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search