Patrick Hübner

About Patrick Hübner

Patrick Hübner, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Karlsruher Institut für Technologie, specializes in the field of Photogrammetry, 3D Reconstruction, NeRF, Building Modeling, Augmented Reality.

His recent articles reflect a diverse array of research interests and contributions to the field:

Indoor Mapping with Entertainment Devices: Evaluating the Impact of Different Mapping Strategies for Microsoft HoloLens 2 and Apple iPhone 14 Pro

Octree-Based Approach for Real-Time 3D Indoor Mapping Using RGB-D Video Data

Combining HoloLens with Instant-NeRFs: Advanced Real-Time 3D Mobile Mapping

A comparative Neural Radiance Field (NeRF) 3D analysis of camera poses from HoloLens trajectories and Structure from Motion

Evaluation of Intel Realsense D455 Camera Depth Estimation for Indoor Slam Applications

Evaluating Geometry of AN Indoor Scenario with Occlusions Based on Total Station Measurements of Wall Elements

A comparison of learning-based approaches for the corrosion detection on barrels in industrial applications

Semantic segmentation with small training datasets: a case study for corrosion detection on the surface of industrial objects

Patrick Hübner Information

University

Position

(KIT)

Citations(all)

253

Citations(since 2020)

250

Cited By

40

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Patrick Hübner Skills & Research Interests

Photogrammetry

3D Reconstruction

NeRF

Building Modeling

Augmented Reality

Top articles of Patrick Hübner

Indoor Mapping with Entertainment Devices: Evaluating the Impact of Different Mapping Strategies for Microsoft HoloLens 2 and Apple iPhone 14 Pro

Sensors

2024/2/6

Octree-Based Approach for Real-Time 3D Indoor Mapping Using RGB-D Video Data

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2023/5/25

Combining HoloLens with Instant-NeRFs: Advanced Real-Time 3D Mobile Mapping

arXiv preprint arXiv:2304.14301

2023/4/27

A comparative Neural Radiance Field (NeRF) 3D analysis of camera poses from HoloLens trajectories and Structure from Motion

arXiv preprint arXiv:2304.10664

2023/4/20

Patrick Hübner
Patrick Hübner

H-Index: 3

Boris Jutzi
Boris Jutzi

H-Index: 18

Evaluation of Intel Realsense D455 Camera Depth Estimation for Indoor Slam Applications

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2023/12/13

Evaluating Geometry of AN Indoor Scenario with Occlusions Based on Total Station Measurements of Wall Elements

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2023/10/19

A comparison of learning-based approaches for the corrosion detection on barrels in industrial applications

tm-Technisches Messen

2023/7/27

Semantic segmentation with small training datasets: a case study for corrosion detection on the surface of industrial objects

Image Processing Forum

2022/11/25

Normal Classification of 3D Occupancy Grids for Voxel-Based Indoor Reconstruction from Point Clouds

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2022/5/18

Corrosion detection for industrial objects: from multi-sensor system to 5D feature space

arXiv preprint arXiv:2205.07075

2022/5/14

Pose normalization of indoor mapping datasets partially compliant with the manhattan world assumption

Remote Sensing

2021/11/24

Patrick Hübner
Patrick Hübner

H-Index: 3

Martin Weinmann
Martin Weinmann

H-Index: 18

Automatic voxel-based 3D indoor reconstruction and room partitioning from triangle meshes

ISPRS Journal of Photogrammetry and Remote Sensing

2021/11/1

Patrick Hübner
Patrick Hübner

H-Index: 3

Martin Weinmann
Martin Weinmann

H-Index: 18

Efficient 3d mapping and modelling of indoor scenes with the microsoft hololens: A survey

PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science

2021/8

Evaluation of HoloLens tracking and depth sensing for indoor mapping applications

Sensors

2020/2/14

Patrick Hübner
Patrick Hübner

H-Index: 3

Martin Weinmann
Martin Weinmann

H-Index: 18

3D indoor mapping with the Microsoft HoloLens: qualitative and quantitative evaluation by means of geometric features

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2020/8/3

Voxel-based indoor reconstruction from hololens triangle meshes

arXiv preprint arXiv:2002.07689

2020/2/18

Patrick Hübner
Patrick Hübner

H-Index: 3

Martin Weinmann
Martin Weinmann

H-Index: 18

See List of Professors in Patrick Hübner University(Karlsruher Institut für Technologie)

Co-Authors

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