No-reference quality metric for HEVC compression distortion estimation in depth maps
Sign Up to like & getrecommendations! Published in 2020 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-019-01542-0
Abstract: Multiview video plus depth (MVD) is the most popular 3D video format due to its efficient compression and provision for novel view generation enabling the free-viewpoint applications. In addition to color images, MVD format provides… read more here.
Keywords: compression distortion; depth; quality; depth maps ... 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
Omnidirectional Multicamera Video Stitching Using Depth Maps
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Oceanic Engineering"
DOI: 10.1109/joe.2019.2924276
Abstract: Omnidirectional vision has recently captured plenty of attention within the computer vision community. The popularity of cameras able to capture 360$^{\circ }$ has increased in the last few years. A significant number of these cameras… read more here.
Keywords: omnidirectional multicamera; depth maps; multicamera; conventional approaches ... See more keywords
CORNet: Context-Based Ordinal Regression Network for Monocular Depth Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3128505
Abstract: Monocular depth estimation, as one of the fundamental tasks of computer vision, plays a crucial role in three-dimensional (3D) scene understanding and perception. Usually, deep learning methods recover monocular depth maps using continuous regression manners… read more here.
Keywords: depth; depth maps; ordinal regression; monocular depth ... See more keywords
Technique to Generate Depth Maps from Real Scenes without Manual Calibration
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Latin America Transactions"
DOI: 10.1109/tla.2024.10500710
Abstract: This paper proposes a technique for the generation of a disparity map from a real scene, captured by a stereo vision system. The underlying motivation for this work is to develop a system not requiring… read more here.
Keywords: calibration; technique generate; maps real; depth maps ... See more keywords
Monocular Depth Estimation Using Res-UNet with an Attention Model
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13106319
Abstract: Depth maps are single image metrics that carry the information of a scene in three-dimensional axes. Accurate depth maps can recreate the 3D structure of a scene, which helps in understanding the full geometry of… read more here.
Keywords: depth; depth estimation; depth maps; model ... See more keywords