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Lookup NU author(s): Dr Amir Atapour AbarghoueiORCiD
This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by Springer, Cham, 2018.
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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.
Author(s): Atapour-Abarghouei A, Breckon TP
Editor(s): Campilho A; Karray F; ter Haar Romeny B
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Image Analysis and Recognition. ICIAR 2018
Year of Conference: 2018
Online publication date: 06/06/2018
Acceptance date: 22/03/2018
Date deposited: 06/02/2021
Publisher: Springer, Cham
Library holdings: Search Newcastle University Library for this item
Series Title: Lecture Notes in Computer Science