Results 61 to 70 of about 14,435,990 (306)

Real-time RGB-D image stitching using multiple Kinects for improved field of view

open access: yesInternational Journal of Advanced Robotic Systems, 2017
This article concerns the problems of a defective depth map and limited field of view of Kinect-style RGB-D sensors. An anisotropic diffusion based hole-filling method is proposed to recover invalid depth data in the depth map.
Hengyu Li   +6 more
doaj   +1 more source

Enhanced RGB-D Mapping Method for Detailed 3D Indoor and Outdoor Modeling

open access: yesSensors, 2016
RGB-D sensors (sensors with RGB camera and Depth camera) are novel sensing systems that capture RGB images along with pixel-wise depth information. Although they are widely used in various applications, RGB-D sensors have significant drawbacks including ...
Shengjun Tang   +6 more
doaj   +1 more source

Approximate Depth Shape Reconstruction for RGB-D Images Captured from HMDs for Mixed Reality Applications

open access: yesJournal of Imaging, 2020
Depth sensors are important in several fields to recognize real space. However, there are cases where most depth values in a depth image captured by a sensor are constrained because the depths of distal objects are not always captured.
Naoyuki Awano
doaj   +1 more source

COMPARISON BETWEEN RGB AND RGB-D CAMERAS FOR SUPPORTING LOW-COST GNSS URBAN NAVIGATION [PDF]

open access: yes, 2018
A pure GNSS navigation is often unreliable in urban areas because of the presence of obstructions, thus preventing a correct reception of the satellite signal.
E. Realini   +5 more
core   +2 more sources

Robust alternating optimisation for extrinsic calibration of RGB‐D cameras

open access: yesElectronics Letters, 2019
RGB‐depth (RGB‐D) cameras are widely used for 3D reconstruction or human–computer interaction. To simultaneously acquire colour and depth images of an object in widely separated viewpoints, multiple RGB‐D cameras are required.
J.W. Jang, Y.C. Kwon, W. Hwang, O. Choi
doaj   +1 more source

RGB-D Multicamera Object Detection and Tracking Implemented through Deep Learning [PDF]

open access: yes, 2022
In this thesis we present the development of a multi object detection and tracking system in low light environment implemented by using a RGB-D multicamera system and the deep learning framework.
Zhang, GuangZheng
core  

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar   +2 more
wiley   +1 more source

Multi-view Inpainting for RGB-D Sequence [PDF]

open access: yes2018 International Conference on 3D Vision (3DV), 2018
10 ...
Feiran Li   +3 more
openaire   +3 more sources

3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images

open access: yesSensors, 2021
Instance segmentation and object detection are significant problems in the fields of computer vision and robotics. We address those problems by proposing a novel object segmentation and detection system.
Xiaoke Shen, Ioannis Stamos
doaj   +1 more source

Understanding Everyday Hands in Action from RGB-D Images [PDF]

open access: yes, 2015
International audienceWe analyze functional manipulations of handheld objects, formalizing the problem as one of fine-grained grasp classification. To do so, we make use of a recently developed fine-grained taxonomy of human-object grasps. We introduce a
Supancic, James, Steven   +5 more
core   +1 more source

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