NDLI: Depth map artefacts reduction: a review

Content Provider	IET Digital Library
Author	Ibrahim, Mostafa Mahmoud Liu, Qiong Khan, Rizwan Yang, Jingyu Adeli, Ehsan Yang, You
Abstract	Depth maps are crucial for many visual applications, where they represent the positioning information of the objects in a three-dimensional scene. Usually, depth maps can be acquired via various devices, including Time of Flight, Kinect or light field camera, in practical applications. However, a brutal truth is that both intrinsic and extrinsic artefacts can be found in these depth maps which limits the prosperity of three-dimensional visual applications. In this study, the authors survey the depth map artefacts reduction methods proposed in the literature, from mono- to multi-view, via spatial to temporal dimension, in local to global manner, with signal processing to learning-based methods. They also compare the state-of-the-arts via different metrics to show their potentials in future visual applications.
Starting Page	2630
Ending Page	2644
Page Count	15
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 12, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.1622
Journal	IET Image Processing
Publisher Date	2020-05-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Camera Computer Vision And Image Processing Technique Data Visualisation Depth Map Artefacts Reduction Method Depth Maps Extrinsic Artefacts Future Visual Application Graphics Technique Image Reconstruction Image Sonsor Intrinsic Artefacts Knowledge Engineering Technique Learning in AI Light Field Camera Optical, Image And Video Signal Processing Three-dimensional Visual Application
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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Saliency and depth-based unsupervised object segmentation

Robustness of ToF and stereo fusion for high-accuracy depth map

Robust alternating optimisation for extrinsic calibration of RGB-D cameras

Adaptive colour-guided non-local means algorithm for compound noise reduction of depth maps

Target distance measurement method using monocular vision

Depth map upsampling with image decomposition

Generation of synthetic Kinect depth images based on empirical noise model

Blind quality assessment for 3D synthesised video with binocular asymmetric distortion

Generating Virtual Images for Multi-view Video

Depth map artefacts reduction: a review

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