Results 11 to 20 of about 4,616,264 (348)
Depth Map Decomposition for Monocular Depth Estimation [PDF]
European Conference on Computer Vision, 2022 We propose a novel algorithm for monocular depth estimation that decomposes a metric depth map into a normalized depth map and scale features. The proposed network is composed of a shared encoder and three decoders, called G-Net, N-Net, and M-Net, which ...
Jinyoung Jun +3 more
semanticscholar +3 more sources
Guided Depth Map Super-Resolution: A Survey [PDF]
ACM Computing Surveys, 2023 Guided depth map super-resolution (GDSR), which aims to reconstruct a high-resolution depth map from a low-resolution observation with the help of a paired high-resolution color image, is a longstanding and fundamental problem that has attracted ...
Zhiwei Zhong +2 more
exaly +2 more sources
Depth Map Refinement for Immersive Video [PDF]
IEEE Access, 2021 In this article, we propose a depth map refinement method that increases the quality of immersive video. The proposal highly enhances the inter-view consistency of depth maps (estimated or acquired by any method), crucial for achieving the required ...
Dawid Mieloch +2 more
doaj +2 more sources
Multiscale Attention Fusion for Depth Map Super-Resolution Generative Adversarial Networks [PDF]
Entropy, 2023 Color images have long been used as an important supplementary information to guide the super-resolution of depth maps. However, how to quantitatively measure the guiding effect of color images on depth maps has always been a neglected issue.
Dan Xu, Xiaopeng Fan, Wen Gao
doaj +2 more sources
Depth map artefacts reduction: a review [PDF]
IET Image Processing, 2020 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 ...
M. Ibrahim +5 more
semanticscholar +2 more sources
Color-Guided Depth Map Super-Resolution Using a Dual-Branch Multi-Scale Residual Network with Channel Interaction [PDF]
Sensors, 2020 We designed an end-to-end dual-branch residual network architecture that inputs a low-resolution (LR) depth map and a corresponding high-resolution (HR) color image separately into the two branches, and outputs an HR depth map through a multi-scale ...
Ruijin Chen, Wei Gao
doaj +2 more sources
Depth Map Upsampling via Multi-Modal Generative Adversarial Network [PDF]
Sensors, 2019 Autonomous robots for smart homes and smart cities mostly require depth perception in order to interact with their environments. However, depth maps are usually captured in a lower resolution as compared to RGB color images due to the inherent ...
Daniel Stanley Tan +4 more
doaj +2 more sources
The stereoscopic analysis and depth map creation
European Journal of Business Science and Technology, 2016 This contribution is focused on the use of the stereoscopic image for the purpose of depth map creation. Further, methods for calibration of the camera(s) are discussed. A stereoscopic head was constructed for the purpose of creating a stereoscopic image.
Ondřej Švehla
doaj +2 more sources
IEEE Access, 2017 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 ...
Huimin Lu +7 more
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Color-Guided Depth Map Super Resolution Using Convolutional Neural Network
IEEE Access, 2017 With the development of 3-D applications, such as 3-D reconstruction and object recognition, accurate and high-quality depth map is urgently required. Recently, depth cameras have been affordable and widely used in daily life. However, the captured depth
Jianjun Lei, Runmin Cong, Bo Peng
exaly +2 more sources