Kai A. Neumann

ORCID: 0000-0002-4359-5329
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About
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Research Areas
  • Robotics and Sensor-Based Localization
  • 3D Surveying and Cultural Heritage
  • 3D Shape Modeling and Analysis
  • Advanced Image and Video Retrieval Techniques
  • Remote Sensing and LiDAR Applications
  • Optical measurement and interference techniques
  • Advanced Vision and Imaging

Fraunhofer Institute for Computer Graphics Research
2022-2025

Technical University of Darmstadt
2022-2024

Abstract Image-based 3D reconstruction is a powerful method for accurately reconstructing an object’s geometry and texture from images. A crucial factor the accuracy completeness of resulting reconstructed model choice poses capturing images, which called view planning. One possible planning strategy uses iterative feedback loop that switches between incremental to autonomously digitize object without prior knowledge. However, this approach requires identifying parts are “poorly...

10.1007/s11042-025-20596-6 article EN cc-by Multimedia Tools and Applications 2025-01-08

Structure from Motion (SfM) plays a crucial role in unstructured capturing. While images are usually taken by perspective cameras, orthographic camera projections do not suffer the foreshortening effect, that leads to varying capturing quality image regions. Most contributions SfM assume setup with nearly infinite focal length. These assumptions lead potentially sub-optimal pose estimation. Therefore, we propose pipeline is optimized for orthographically projected images. For this, estimate...

10.1109/icip46576.2022.9897368 article EN 2022 IEEE International Conference on Image Processing (ICIP) 2022-10-16
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