2019
DOI: 10.1007/978-3-030-28603-3_2
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Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimation

Abstract: Even though obtaining 3D information has received significant attention in scene capture systems in recent years, there are currently numerous challenges within scene depth estimation which is one of the fundamental parts of any 3D vision system focusing on RGB-D images. This has lead to the creation of an area of research where the goal is to complete the missing 3D information post capture. In many downstream applications, incomplete scene depth is of limited value and thus techniques are required to fill th… Show more

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Cited by 3 publications
(1 citation statement)
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References 146 publications
(252 reference statements)
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“…Aladem and Rawashdeh [16] have used the single-stream encoding and decoding structure to realise the multi-task prediction. Atapour-Abarghouei and Breckon [17] further studied the depth estimation after getting rid of the shackles of 3D.…”
Section: Semantic Segmentation and Depth Estimationmentioning
confidence: 99%
“…Aladem and Rawashdeh [16] have used the single-stream encoding and decoding structure to realise the multi-task prediction. Atapour-Abarghouei and Breckon [17] further studied the depth estimation after getting rid of the shackles of 3D.…”
Section: Semantic Segmentation and Depth Estimationmentioning
confidence: 99%