Results 61 to 70 of about 14,618,314 (310)

Design and calibration of an omni-RGB+D camera [PDF]

open access: yes2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2016
In this paper, we present the design of a new camera combining both predator-like and prey-like vision features. This setup provides both a spherical RGB-view and a directional depth-view of the environment. The model and calibration of the full set-up are described.
Jamaluddin, Ahmad Zawawi   +4 more
openaire   +3 more sources

Non-Local Means Hole Repair Algorithm Based on Adaptive Block

open access: yesApplied Sciences, 2023
RGB-D cameras provide depth and color information and are widely used in 3D reconstruction and computer vision. In the majority of existing RGB-D cameras, a considerable portion of depth values is often lost due to severe occlusion or limited camera ...
Bohu Zhao, Lebao Li, Haipeng Pan
doaj   +1 more source

Outdoor Mobile Mapping and AI-Based 3D Object Detection with Low-Cost RGB-D Cameras: The Use Case of On-Street Parking Statistics

open access: yesRemote Sensing, 2021
A successful application of low-cost 3D cameras in combination with artificial intelligence (AI)-based 3D object detection algorithms to outdoor mobile mapping would offer great potential for numerous mapping, asset inventory, and change detection tasks ...
S. Nebiker   +4 more
semanticscholar   +1 more source

Fusion of Laser Scans and Image Data—RGB+D for Structural Health Monitoring of Engineering Structures

open access: yesApplied Sciences, 2022
A novel method for structural health monitoring (SHM) by using RGB+D data has been recently proposed. RGB+D data are created by fusing image and laser scan data, where the D channel represents the distance, interpolated from laser scanner data.
Josip Peroš   +3 more
doaj   +1 more source

Container Localisation and Mass Estimation with an RGB-D Camera

open access: yesICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Paper accepted to ICASSP 2022 5 pages, 4 figures, 1 table Code: https://github.com/CORSMAL/Visual Info: https://corsmal.eecs.qmul.ac.uk/challenge ...
Apicella T.   +4 more
openaire   +4 more sources

Fast capture of textured full-body avatar with RGB-D cameras [PDF]

open access: yes, 2016
We present a practical system which can provide a textured full-body avatar within three seconds. It uses sixteen RGB-depth (RGB-D) cameras, ten of which are arranged to capture the body, while six target the important head region.
Lai, Yukun   +4 more
core   +1 more source

RGB-D Visual Odometry via Low Order Gaussian Gradient Metrics

open access: yes, 2023
This paper gives a direct Visual Odometry (VO) of RGB-D cameras by using features conducted with low-order  Gaussian derivative functions such as Gaussian gradient operator.
Xu An (14656626)   +3 more
core   +1 more source

UNIPD-BPE: Synchronized RGB-D and Inertial Data for Multimodal Body Pose Estimation and Tracking

open access: yesData, 2022
The ability to estimate human motion without requiring any external on-body sensor or marker is of paramount importance in a variety of fields, ranging from human–robot interaction, Industry 4.0, surveillance, and telerehabilitation.
Mattia Guidolin   +2 more
doaj   +1 more source

KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data

open access: yesData in Brief, 2019
This article contains data related to the research article entitle “Multi-modal Deep Learning for Fruit Detection Using RGB-D Cameras and their Radiometric Capabilities” [1].
Jordi Gené-Mola   +5 more
doaj   +1 more source

Canny-VO: Visual Odometry With RGB-D Cameras Based on Geometric 3-D–2-D Edge Alignment [PDF]

open access: yesIEEE Transactions on robotics, 2019
This paper reviews the classical problem of free-form curve registration and applies it to an efficient RGB-D visual odometry system called Canny-VO, as it efficiently tracks all Canny edge features extracted from the images.
Yi Zhou, Hongdong Li, L. Kneip
semanticscholar   +1 more source

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