Dr Amir Atapour-Abarghouei amir.atapour-abarghouei@durham.ac.uk
Assistant Professor
Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion
Atapour-Abarghouei, Amir; Breckon, Toby P.
Authors
Professor Toby Breckon toby.breckon@durham.ac.uk
Professor
Contributors
Aurélio Campilho
Editor
Fakhri Karray
Editor
Bart ter Haar Romeny
Editor
Abstract
We address the problem of hole filling in depth images, obtained from either active or stereo sensing, for the purposes of depth image completion in an exemplar-based framework. Most existing exemplar-based inpainting techniques, designed for color image completion, do not perform well on depth information with object boundaries obstructed or surrounded by missing regions. In the proposed method, using both color (RGB) and depth (D) information available from a common-place RGB-D image, we explicitly modify the patch prioritization term utilized for target patch ordering to facilitate improved propagation of complex texture and linear structures within depth completion. Furthermore, the query space in the source region is constrained to increase the efficiency of the approach compared to other exemplar-driven methods. Evaluations demonstrate the efficacy of the proposed method compared to other contemporary completion techniques.
Citation
Atapour-Abarghouei, A., & Breckon, T. P. (2018). Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion. In A. Campilho, F. Karray, & B. T. H. Romeny (Eds.), Image analysis and recognition : 15th International Conference, ICIAR 2018, Póvoa de Varzim, Portugal, June 27–29, 2018 ; proceedings (306-314). https://doi.org/10.1007/978-3-319-93000-8_35
Conference Name | International Conference Image Analysis and Recognition |
---|---|
Conference Location | Póvoa de Varzim, Portugal |
Online Publication Date | Jun 6, 2018 |
Publication Date | Jun 6, 2018 |
Deposit Date | Dec 10, 2018 |
Publicly Available Date | Mar 29, 2024 |
Pages | 306-314 |
Series Title | Lecture notes in computer science |
Series Number | 10882 |
Series ISSN | 0302-9743,1611-3349 |
Book Title | Image analysis and recognition : 15th International Conference, ICIAR 2018, Póvoa de Varzim, Portugal, June 27–29, 2018 ; proceedings. |
ISBN | 9783319929996 |
DOI | https://doi.org/10.1007/978-3-319-93000-8_35 |
Public URL | https://durham-repository.worktribe.com/output/1143307 |
Related Public URLs | http://breckon.eu/toby/publications/papers/abarghouei18patch.pdf |
Files
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