Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

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Wilm, Jakob

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University of Southern Denmark

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2020Design of Automated Robotic System for Draping Prepreg Composite Fabrics12citations
  • 2020Design of Automated Robotic System for Draping Prepreg Composite Fabrics12citations
  • 2020Will it Crease or Cease? A study of Debulking of Air Pockets in Automated Prepreg Composite Layup3citations
  • 2020Will it Crease or Cease?:A study of debulking of air pockets in automated prepreg composite layup3citations
  • 2016Real Time Structured Light and Applicationscitations

Places of action

Chart of shared publication
Glud, Jens Ammitzbøll
2 / 3 shared
Kristiansen, Ewa
2 / 8 shared
Hannemose, Morten
2 / 2 shared
Ellekilde, Lars-Peter
2 / 4 shared
Kristiansen, Morten
2 / 12 shared
Stærk Stenvang, Thor
1 / 1 shared
Sveidahl, Ingolf
2 / 2 shared
Ikram, Asim
2 / 2 shared
Nielsen, Ole Wennerberg
2 / 2 shared
Jakobsen, Johnny
4 / 32 shared
Petersen, Henrik Gordon
2 / 3 shared
Gunnarsson, Gudmundur Geir
2 / 2 shared
Krogh, Christian
4 / 19 shared
Aanæs, Henrik
2 / 5 shared
De Kruijk, Joakim
1 / 1 shared
Stenvang, Thor Stærk
1 / 1 shared
Kruijk, Joakim De
1 / 1 shared
Chart of publication period
2020
2016

Co-Authors (by relevance)

  • Glud, Jens Ammitzbøll
  • Kristiansen, Ewa
  • Hannemose, Morten
  • Ellekilde, Lars-Peter
  • Kristiansen, Morten
  • Stærk Stenvang, Thor
  • Sveidahl, Ingolf
  • Ikram, Asim
  • Nielsen, Ole Wennerberg
  • Jakobsen, Johnny
  • Petersen, Henrik Gordon
  • Gunnarsson, Gudmundur Geir
  • Krogh, Christian
  • Aanæs, Henrik
  • De Kruijk, Joakim
  • Stenvang, Thor Stærk
  • Kruijk, Joakim De
OrganizationsLocationPeople

thesis

Real Time Structured Light and Applications

  • Wilm, Jakob
Abstract

Structured light scanning is a versatile method for 3D shape acquisition. While much faster than most competing measurement techniques, most high-end structured light scans still take in the order of seconds to complete.<br/><br/>Low-cost sensors such as Microsoft Kinect and time of flight cameras have made 3D sensor ubiquitous and have resulted in a vast amount of new applications and methods. However, such low-cost sensors are generally limited in their accuracy and precision, making them unsuitable for e.g. accurate tracking and pose estimation.<br/><br/>With recent improvements in projector technology, increased processing power, and methods presented in this thesis, it is possible to perform structured light scans in real time with 20 depth measurements per second. This offers new opportunities for studying dynamic scenes, quality control, human-computer interaction and more.<br/><br/>This thesis discusses several aspects of real time structured light systems and presents contributions within calibration, scene coding and motion correction aspects.The problem of reliable and fast calibration of such systems is addressed with a novel calibration scheme utilising radial basis functions [Contribution B].A high performance flexible open source software toolkit is presented [Contribution C], which makes real time scanning possible on commodity hardware.Further, an approach is presented to correct for motion artifacts in dynamic scenes [Contribution E].<br/><br/>An application for such systems is presented with a head tracking approach for medical motion correction [Contribution A, F]. This aims to solve the important problem of motion artifacts, which occur due to head movement during long acquisition times in MRI and PET scans. In contrast to existing methods, the one presented here is MRI compatible [Contribution D], not dependent on fiducial markers, and suitable for prospective correction.<br/><br/>Factors contributing to accuracy and precision of structured light systems are investigated with a study of performance factors [Contribution G]. This is also done in the context of biological tissue, which exhibit subsurface effects and other undesirable effects [Contribution H], and it is shown that this error is to a large extent deterministic and can be corrected.<br/>

Topics
  • impedance spectroscopy