Editor(s): Weickert, Joachim; Hagen, Hans. Series: Mathematics and Visualization. Num Pages: 496 pages, 7 black & white tables, biography. BIC Classification: MMPH; PBK; PBMP; PBV; UYQV; UYT. Category: (G) General (US: Trade). Dimension: 235 x 155 x 26. Weight in Grams: 759. . 2014. Paperback. . . . . Books ship from the US and Ireland.

Bestandsnummer des Verk�ufers V9783642439261

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Bibliografische Details

Titel: Visualization and Processing of Tensor Fields
Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Erscheinungsjahr: 2014
Sprache: Englisch
ISBN-10: 3642439268
ISBN-13: 9783642439261
Einband: Softcover
Zustand: New

�ber diesen Titel

Inhaltsangabe

Matrix-valued data sets – so-called second order tensor fields – have gained significant importance in scientific visualization and image processing due to recent developments such as diffusion tensor imaging. This book is the first edited volume that presents the state of the art in the visualization and processing of tensor fields. It contains some longer chapters dedicated to surveys and tutorials of specific topics, as well as a great deal of original work by leading experts that has not been published before. It serves as an overview for the inquiring scientist, as a basic foundation for developers and practitioners, and as as a textbook for specialized classes and seminars for graduate and doctoral students.

�ber die Autorin bzw. den Autor

Joachim Weickert is Full Professor of Mathematics and Computer Science at
   Saarland University (Saarbr\"ucken, Germany) where he heads the Mathematical
   Image Analysis Group. He performs research in image processing, computer
   vision and scientific computing, focusing on techniques based on partial
   differential equations and variational methods.

   Hans Hagen is heading the research group for Computer Graphics and
   Computer Geometry at the University of Kaiserslautern, Germany, and is
   Scientific Director of the research lab Intelligent Visualization and
   Simulation at the German Research Center for Artificial Intelligence
   (DFKI). His research domains are geometric modeling and scientific
   visualization.

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