Results 41 to 50 of about 49,587 (264)

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

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

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

Specificity-preserving RGB-D saliency detection

open access: yesComputational Visual Media, 2023
Computational Visual Media, 9 (2)
Tao Zhou 0002   +4 more
openaire   +4 more sources

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

Temporal and Spatial Denoising of Depth Maps

open access: yesSensors, 2015
This work presents a procedure for refining depth maps acquired using RGB-D (depth) cameras. With numerous new structured-light RGB-D cameras, acquiring high-resolution depth maps has become easy. However, there are problems such as undesired occlusion,
Bor-Shing Lin   +4 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

ENHANCED RGB-D MAPPING METHOD FOR DETAILED 3D MODELING OF LARGE INDOOR ENVIRONMENTS [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
RGB-D sensors 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 with respect to 3D dense mapping of indoor ...
S. Tang   +6 more
doaj   +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   +2 more sources

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

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