N
Niklas Peinecke
Researcher at German Aerospace Center
Publications - 82
Citations - 1620
Niklas Peinecke is an academic researcher from German Aerospace Center. The author has contributed to research in topics: Radar & Cockpit. The author has an hindex of 12, co-authored 74 publications receiving 1464 citations. Previous affiliations of Niklas Peinecke include Leibniz University of Hanover.
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Journal ArticleDOI
Laplace-Beltrami spectra as 'Shape-DNA' of surfaces and solids
TL;DR: This paper introduces a method to extract 'Shape-DNA', a numerical fingerprint or signature, of any 2d or 3d manifold by taking the eigenvalues (i.e. the spectrum) of its Laplace-Beltrami operator and succeeds in computing eigen values for smoothly bounded objects without discretization errors caused by approximation of the boundary.
Proceedings ArticleDOI
Laplace-spectra as fingerprints for shape matching
TL;DR: This paper introduces a method to extract fingerprints of any surface or solid object by taking the eigenvalues of its respective Laplace-Beltrami operator, which is possible to support copyright protection, database retrieval and quality assessment of digital data representing surfaces and solids.
Book ChapterDOI
Global medical shape analysis using the Laplace-Beltrami spectrum
Marc Niethammer,Martin Reuter,Franz-Erich Wolter,Sylvain Bouix,Niklas Peinecke,Min-Seong Koo,Martha E. Shenton +6 more
TL;DR: The Laplace-Beltrami spectrum is proposed to be used as a global shape descriptor for medical shape analysis, allowing for shape comparisons using minimal shape preprocessing: no registration, mapping, or remeshing is necessary.
Journal ArticleDOI
Laplace spectra as fingerprints for image recognition
TL;DR: A novel method to automatically obtain unique but easily computable fingerprints from an image based on a reinterpretation of an image as a Riemannian manifold, which allows better results in comparing the resulting spectra and deeper insights in the problems arising.
Proceedings ArticleDOI
Lidar simulation using graphics hardware acceleration
TL;DR: This work describes an approach for simulating Lidar sensors based on using modern computer graphics hardware making heavy use of recent technologies like vertex and fragment shaders, and presents a vertex shader solution written in GLSL, the OpenGL shading language.