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Manifold-defect depth-map restoration for very low-cost S3D videos

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0 Published in 2018 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-018-6804-9

Abstract: In this paper, the proposed algorithm provides a fluent and efficient method for repairing very-low quality depth maps of considerable manifold defects for low-cost stereoscopic 3D (S3D) photographing that such a depth map can be… read more here.

Keywords: depth; s3d; low cost; depth map ... See more keywords

Soil rooting depth of Italy

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1 Published in 2019 at "Journal of Maps"

DOI: 10.1080/17445647.2019.1690595

Abstract: ABSTRACT Soils perform several functions in delivering ecosystem services and soil thematic maps are useful for environmental modelling, landscape planning, and management optimization. This study aimed at producing the first soil rooting depth map of… read more here.

Keywords: soil; soil rooting; rooting depth; depth map ... See more keywords

Depth Map Reconstruction for Underwater Kinect Camera Using Inpainting and Local Image Mode Filtering

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1 Published in 2017 at "IEEE Access"

DOI: 10.1109/access.2017.2690455

Abstract: Underwater optical cameras are widely used for security monitoring in ocean, such as earthquake prediction and tsunami alarming. Optical cameras recognize objects for autonomous underwater vehicles and provide security protection for sea-floor networks. However, there… read more here.

Keywords: reconstruction; depth; mode filtering; image mode ... See more keywords

SemAttNet: Toward Attention-Based Semantic Aware Guided Depth Completion

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1 Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3214316

Abstract: Depth completion involves recovering a dense depth map from a sparse map and an RGB image. Recent approaches focus on utilizing color images as guidance images to recover depth at invalid pixels. However, color images… read more here.

Keywords: map; depth map; depth; color ... See more keywords

Pyramid-Structured Depth MAP Super-Resolution Based on Deep Dense-Residual Network

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0 Published in 2019 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2019.2944646

Abstract: Although deep convolutional neural networks (DCNN) show significant improvement for single depth map (SD) super-resolution (SR) over the traditional counterparts, most SDSR DCNNs do not reuse the hierarchical features for depth map SR resulting in… read more here.

Keywords: resolution; depth map; depth; map super ... See more keywords

Simple Yet Effective Way for Improving the Performance of Depth Map Super-Resolution

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1 Published in 2020 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2020.3039429

Abstract: In depth map super-resolution (SR), a high-resolution color image plays an important role as guidance for preventing blurry depth boundaries. However, excessive/deficient use of the color image features often causes performance degradation such as texture-copying/edge-smoothing… read more here.

Keywords: resolution; performance; depth map; depth ... See more keywords

Depth Map Enhancement by Revisiting Multi-Scale Intensity Guidance Within Coarse-to-Fine Stages

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0 Published in 2020 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2019.2962867

Abstract: Being different from the most methods of guided depth map enhancement based on deep convolutional neural network which focus on increasing the depth of networks, this paper is to improve the effectiveness of intensity guidance… read more here.

Keywords: depth map; multi scale; depth; intensity guidance ... See more keywords

Depth Map Super-resolution Based on Dual Normal-depth Regularization and Graph Laplacian Prior

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0 Published in 2021 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2021.3104151

Abstract: The edge information plays a key role in the restoration of a depth map. Most conventional methods assume that the color image and depth map are consistent in edge areas. However, complex texture regions in… read more here.

Keywords: depth; dual normal; regularization; depth map ... See more keywords

Depth Map Super-Resolution via Joint Local Gradient and Nonlocal Structural Regularizations

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1 Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2022.3190553

Abstract: Depth maps have been widely used in many real world applications, such as human-computer interaction and virtual reality. However, due to the limitation of current depth sensing technology, the captured depth maps usually suffer from… read more here.

Keywords: depth map; depth; super resolution; gradient ... See more keywords

Automatic Depth Extraction from 2D Images Using a Cluster-Based Learning Framework

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1 Published in 2018 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2018.2813093

Abstract: There has been a significant increase in the availability of 3D players and displays in the last years. Nonetheless, the amount of 3D content has not experimented an increment of such magnitude. To alleviate this… read more here.

Keywords: color; depth; image; depth map ... See more keywords

Occlusion-Aware Depth Map Coding Optimization Using Allowable Depth Map Distortions

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1 Published in 2019 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2019.2919198

Abstract: In depth map coding, rate-distortion optimization for those pixels that will cause occlusion in view synthesis is a rather challenging task, since the synthesis distortion estimation is complicated by the warping competition and the occlusion… read more here.

Keywords: occlusion; distortion; depth map; allowable depth ... See more keywords