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References from Mixed reality head mounted displays for enhanced indoor point cloud segmentation with virtual seeds. Local targets link to admitted publications; unresolved targets remain external evidence.
A review of building information modeling (BIM) and the internet of things (IoT) devices integration: present status and future trends
10.1016/j.autcon.2019.01.020 · 2019 · External reference
Structural 3D reconstruction of indoor space for 5G signal simulation with mobile laser scanning point clouds
10.3390/rs11192262 · 2019 · External reference
Semantic segmentation of point clouds of building interiors with deep learning: augmenting training datasets with synthetic BIM-based point clouds
10.1016/j.autcon.2020.103144 · 2020 · External reference
Preliminary comparison between handheld and mobile robotic mapping systems
2021 · External reference
Indoor mapping eyewear: geometric evaluation of spatial mapping capability of HoloLens
2019 · External reference
Unresolved reference
2018 · External reference
3D indoor mapping with the Microsoft HoloLens: qualitative and quantitative evaluation by means of geometric features
2020 · External reference
Evaluation of Mobile Mapping Systems for indoor surveys
10.5194/isprs-archives-xliv-4-w1-2020-119-2020 · 2020 · External reference
Comparison of the selected State-Of-The-Art 3D indoor scanning and point cloud generation methods
10.3390/rs9080796 · 2017 · External reference
Mobile indoor mapping technologies: a review
10.1016/j.autcon.2020.103399 · 2020 · External reference
What the hololens maps is your workspace: fast mapping and set-up of robot cells via head mounted displays and augmented reality
2020 · External reference
3D reconstruction and object detection for HoloLens
2020 · External reference
Automatic voxel-based 3D indoor reconstruction and room partitioning from triangle meshes
10.1016/j.isprsjprs.2021.07.002 · 2021 · External reference
Review of Microsoft HoloLens applications over the past five years
2021 · External reference
A HoloLens based augmented reality navigation system for minimally invasive total knee arthroplasty
2019 · External reference
HoloLens and mobile augmented reality in medical and health science education: a randomised controlled trial
10.1111/bjet.13049 · 2021 · External reference
Innovative teacher education with the augmented reality device Microsoft HoloLens—results of an exploratory study and pedagogical considerations
2021 · External reference
Joint point cloud and image based localization for efficient inspection in mixed reality
2018 · External reference
Virtual element retrieval in Mixed Reality
2022 · External reference
Unresolved reference
2018 · External reference
Unresolved reference
2019 · External reference
Efficient 3D mapping and modelling of indoor scenes with the microsoft HoloLens: a survey
2021 · External reference
Preparing the HoloLens for user studies: an augmented reality interface for the spatial adjustment of holographic objects in 3D indoor environments
10.1007/s42489-019-00025-z · 2019 · External reference
Reconstruction, optimization and quality check of microsoft hololens-acquired 3D point clouds
2020 · External reference
New trends in laser scanning for cultural heritage BT
2022 · External reference
3D separable convolutional neural network for dynamic hand gesture recognition
10.1016/j.neucom.2018.08.042 · 2018 · External reference
Linking points with labels in 3D: a review of point cloud semantic segmentation
10.1109/mgrs.2019.2937630 · 2020 · External reference
Review of 3D point cloud data segmentation methods
10.21307/ijanmc-2020-010 · 2020 · External reference
Curvature-based segmentation of powder bed point clouds for in-process monitoring
2018 · External reference
Deep learning approach to point cloud scene understanding for automated scan to 3D reconstruction
2019 · External reference
JSNet: joint instance and semantic segmentation of 3D point clouds
2020 · External reference
Research on improved region growing point cloud algorithm
10.5194/isprs-archives-xlii-3-w10-153-2020 · 2020 · External reference
Unsupervised segmentation of indoor 3d point cloud: application to object-based classification
2020 · External reference
Automatic region-growing system for the segmentation of large point clouds
10.1016/j.autcon.2022.104250 · 2022 · External reference
Robust normal estimation and region growing segmentation of infrastructure 3D point cloud models
10.1016/j.aei.2017.07.002 · 2017 · External reference
Leaf segmentation on dense plant point clouds with facet region growing
2018 · External reference
Weakly-supervised semantic segmentation network with deep seeded region growing
2018 · External reference
Segmentation for Object-Based Image Analysis (OBIA): a review of algorithms and challenges from remote sensing perspective
10.1016/j.isprsjprs.2019.02.009 · 2019 · External reference
A fast point cloud segmentation algorithm based on region growth
2019 · External reference
Supervoxel-based region growing segmentation for point cloud data
2020 · External reference
Fast and robust segmentation and classification for change detection in urban point clouds
2016 · External reference
A region-growing approach for automatic outcrop fracture extraction from a three-dimensional point cloud
10.1016/j.cageo.2016.11.002 · 2017 · External reference
Fast planar detection system using a GPU-based 3D Hough transform for LiDAR point clouds
10.3390/app10051744 · 2020 · External reference
Geometrical segmentation of multi-shape point clouds based on adaptive shape prediction and hybrid voting RANSAC
2022 · External reference
Indoor point cloud segmentation using iterative gaussian mapping and improved model fitting
10.1109/tgrs.2020.2984943 · 2020 · External reference
Point-based Morphological Opening with input data retrieval
2021 · External reference
Geospatial artificial intelligence: potentials of machine learning for 3D point clouds and geospatial digital twins
2020 · External reference
3D point cloud segmentation: a survey
2013 · External reference
RGAM: a novel network architecture for 3D point cloud semantic segmentation in indoor scenes
10.1016/j.ins.2021.04.069 · 2021 · External reference
MHIBS-Net: multiscale hierarchical network for indoor building structure point clouds semantic segmentation
2021 · External reference
Unresolved reference
2021 · External reference
Understanding the imperfection of 3D point cloud and semantic segmentation algorithms for 3D models of indoor environment
2022 · External reference
3D recurrent neural networks with context fusion for point cloud semantic segmentation
2018 · External reference
Semantic segmentation of 3D point cloud to virtually manipulate real living space
2019 · External reference
Automatic 3-D reconstruction of indoor environment with mobile laser scanning point clouds
10.1109/jstars.2019.2918937 · 2019 · External reference
Semantic interpretation of mobile laser scanner point clouds in indoor scenes using trajectories
10.3390/rs10111754 · 2018 · External reference
Semantic interaction in augmented reality environments for Microsoft HoloLens
2019 · External reference
Unresolved reference
2020 · External reference
3d mapping of indoor and outdoor environments using Apple smart devices
10.5194/isprs-archives-xliii-b4-2022-303-2022 · 2022 · External reference
Unresolved reference
External reference
Unresolved reference
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