Hierarchical and Geometrical Methods in Scientific Visualization [Hardcover]

Gerald Farin (Editor), Bernd Hamann (Editor), Hans Hagen (Editor)

Book Description

ISBN-10: 3540433139 | ISBN-13: 978-3540433132 | Publication Date: February 12, 2003 | Edition: 1

This book emerged from a DoE/NSF-sponsored workshop, held in Tahoe City, California, October 2000. About fifty invited participants presented state-of-the-art research on topics such as:
- terrain modeling
- multiresolution subdivision
- wavelet-based scientific data compression
- topology-based visualization
- data structures, data organization and indexing schemes for scientific data visualization.
All invited papers were carefully refereed, resulting in this collection. The book will be of great interest to researchers, graduate students and professionals dealing with scientific visualization and its applications.

Editorial Reviews

Review

From the reviews:

"This work … introduce the first end-to-end multiresolution dataflow strategy that can effectively combine the top performing subdivision-surface wavelet compression and view-dependent optimization methods, thus increasing efficiency by several orders of magnitude over conventional processing pipelines. … Overall, this is the first effort to exploit semi-structured surface representations for a complete large-data visualization pipeline." (Wordtrade, July, 2008)

Product Details

• Hardcover: 330 pages
• Publisher: Springer; 1 edition (February 12, 2003)
• Language: English
• ISBN-10: 3540433139
• ISBN-13: 978-3540433132
• Product Dimensions: 9.4 x 6.4 x 0.7 inches
• Shipping Weight: 1.4 pounds (View shipping rates and policies)
• Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #3,772,768 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

2 of 3 people found the following review helpful:

4.0 out of 5 stars perhaps considered as a fractal-like approach to displaying data, June 23, 2006

By 

W Boudville (Terra, Sol 3) - See all my reviews
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This review is from: Hierarchical and Geometrical Methods in Scientific Visualization (Hardcover)

The book is a conference proceedings writeup. Unfortunately, it lacks an introduction that attempts to put some perspective or overall theme on the papers. So you might end up trolling the contents pages and the abstracts of each paper, in the hope of finding something relevant to your needs.

One paper on better ways to model terrain, via Voronoi decompositions. While another paper studies how to display large scale dynamical astrophysics. This is an extreme problem, where time and spatial dimensions can vary by several orders of magnitude. So displaying an animation consisting of equal time steps often proves inadequate. The authors suggest a hierarchical approach, somewhat fractal-like in spirit, if you will.

There are numerous other papers that urge similar approaches.