Results 41 to 50 of about 2,028,296 (276)
A Complexity Reduction Scheme for Depth Coding in 3D-HEVC
Information, 2019 3D-high efficiency video coding (3D-HEVC) is the next-generation compression standard for multiview system applications, which has recently been approved by MPEG and VCEG as an extension of HEVC.
Qiuwen Zhang +4 more
doaj +1 more source
Analysis of a robust edge detection system in different color spaces using color and depth images [PDF]
Компьютерная оптика, 2019 Edge detection is very important technique to reveal significant areas in the digital image, which could aids the feature extraction techniques. In fact it is possible to remove un-necessary parts from image, using edge detection. A lot of edge detection
Seyed Muhammad Hossein Mousavi +2 more
doaj +1 more source
Dead Laying Hens Detection Using TIR-NIR-Depth Images and Deep Learning on a Commercial Farm
Animals, 2023 In large-scale laying hen farming, timely detection of dead chickens helps prevent cross-infection, disease transmission, and economic loss. Dead chicken detection is still performed manually and is one of the major labor costs on commercial farms.
Sheng Luo +5 more
doaj +1 more source
Estimating Depth from RGB and Sparse Sensing
, 2018 We present a deep model that can accurately produce dense depth maps given an RGB image with known depth at a very sparse set of pixels. The model works simultaneously for both indoor/outdoor scenes and produces state-of-the-art dense depth maps at ...
A Teichman +11 more
core +1 more source
Human Action Recognition Using Multilevel Depth Motion Maps
IEEE Access, 2019 The advent of depth sensors opens up new opportunities for human action recognition by providing depth information. The main purpose of this paper is to present an effective method for human action recognition from depth images. A multilevel frame select
Xu Weiyao +5 more
doaj +1 more source
Deep Depth Completion of a Single RGB-D Image
, 2018 The goal of our work is to complete the depth channel of an RGB-D image. Commodity-grade depth cameras often fail to sense depth for shiny, bright, transparent, and distant surfaces.
Funkhouser, Thomas, Zhang, Yinda
core +1 more source
Source Design Optimization for Depth Image Reconstruction in X-ray Imaging
MathematicsX-ray tomography is an effective non-destructive testing method for industrial quality control. Limited-angle tomography can be used to reduce the amount of data that need to be acquired and thereby speed up the process.
Hamid Fathi, Tristan van Leeuwen
doaj +1 more source
RGB-D face recognition using LBP with suitable feature dimension of depth image
IET Cyber-Physical Systems, 2019 This study proposes a robust method for the face recognition from low-resolution red, green, and blue-depth (RGB-D) cameras acquired images which have a wide range of variations in head pose, illumination, facial expression, and occlusion in some cases ...
Hailay Berihu Abebe, Chih-Lyang Hwang
doaj +1 more source
Adversarial Semantic Scene Completion from a Single Depth Image
, 2018 We propose a method to reconstruct, complete and semantically label a 3D scene from a single input depth image. We improve the accuracy of the regressed semantic 3D maps by a novel architecture based on adversarial learning.
Navab, Nassir +3 more
core +1 more source
A Generic Framework for Depth Reconstruction Enhancement
Journal of Imaging, 2022 We propose a generic depth-refinement scheme based on GeoNet, a recent deep-learning approach for predicting depth and normals from a single color image, and extend it to be applied to any depth reconstruction task such as super resolution, denoising and
Hendrik Sommerhoff, Andreas Kolb
doaj +1 more source