Differential Methods for Multi-dimensional Visual Data Analysis

DOI10.1007/978-1-4939-0790-8_35zbMath1331.94012OpenAlexW1497020697MaRDI QIDQ2789843

Tino Weinkauf, Werner Benger, René Heinzl, Dietmar Hildenbrand, Holger Theisel, David Tschumperlé

Publication date: 2 March 2016

Published in: Handbook of Mathematical Methods in Imaging (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-1-4939-0790-8_35

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

Massive geometric algebra: visions for C++ implementations of geometric algebra to scale into the big data era

Uses Software

• CLIFFORD
• CLUCalc
• Gaalop
• Gaigen

Cites Work

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• Nonlinear total variation based noise removal algorithms
• The structure of images
• Clifford algebra to geometric calculus. A unified language for mathematics and physics
• Registration of 3D points using geometric algebra and tensor voting
• Geometric algebra with applications in engineering
• New foundations for classical mechanics
• Axioms and fundamental equations of image processing
• Images as embedded maps and minimal surfaces: Movies, color, texture, and volumetric medical images
• Pose estimation in conformal geometric algebra. I: The stratification of mathematical spaces
• A note on the gradient of a multi-image
• Vector fields and classical theorems of topology
• On the identification of a vortex
• All the Way with Gauss-Bonnet and the Sociology of Mathematics
• PDE methods in flow simulation post processing

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