Manifold-defect depth-map restoration for very low-cost S3D videos
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Efficient Reversible Data Hiding Based on View Synthesis Prediction for Multiview Depth Maps
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3355749
Abstract: Multiview-plus-depth (MVD), which has been used as a 3D format, consists of a texture image and its corresponding depth map at each viewpoint. This MVD-based 3D format has two strong correlations, which are an inter-component… read more here.
Keywords: depth map; depth; multiview; prediction ... See more keywords
CU Split Method Based on Adaptive CNN and Gradient Matrix for VVC 3D Video Depth Map
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3408898
Abstract: In the digital age, people’s demand for 3D videos is becoming increasingly strong. Nowadays, the 3D-HEVC video coding standard is far from meeting people’s needs. Compared to HEVC, Versatile Video Coding (VVC) exhibits better encoding… read more here.
Keywords: vvc; depth map; video; cus ... See more keywords
High-Fidelity Depth Map Reconstruction System With RGB-Guided Super Resolution CNN and Cross-Calibrated Chaos LiDAR
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3532621
Abstract: High-fidelity 3D models are essential for immersive virtual and augmented reality (VR/AR) applications. However, the performance of current 3D recording devices is limited in several scenarios, such as dim light environments, long-distance measurements, and large-scale… read more here.
Keywords: system; depth map; depth; rgb ... See more keywords
AURA-Depth: Attention-Based Uncertainty Reduction and Feature Aggregation Depth Network
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3556062
Abstract: Reliable depth information is crucial in autonomous driving technology. However, monocular depth estimation often faces inherent limitations such as scale ambiguity and lack of depth cues. To address these issues, we propose a novel approach… read more here.
Keywords: depth estimation; depth map; depth; dense depth ... See more keywords
Depth Map Reconstruction for Scleral Bleb Models Using Structured Light in Light Field Imaging
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3573213
Abstract: Light field image processing offers promising opportunities for the development of three-dimensional object imaging technology in healthcare. However, implementing it in real-world scenarios often encounters numerous external challenges that can degrade the quality of captured… read more here.
Keywords: depth map; light field; structured light; map reconstruction ... See more keywords
Pyramid-Structured Depth MAP Super-Resolution Based on Deep Dense-Residual Network
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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