Wavelets for Computer Graphics
||Author: Eric Stollnitz, Anthony DeRose, David Salesin|
List Price: $66.95
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Publisher: Morgan Kaufmann (15 January, 1996)
Sales Rank: 137,581
Average Customer Rating: 4 out of 5
Customer ReviewsRating: 3 out of 5
An Overview of Wavelets for Computer Graphics
I noticed that Tony DeRose, one of the authors of this book,
was a project lead in Pixar's wonderful film "Monsters".
Computer graphics, especially at the cutting edge practiced
by Pixar is deeply mathematical. This is certainly reflected
in this book.
This book covers a number of areas that are not covered outside
of journal articles. For example, there are chapters on
interpolating wavelets (e.g., wavelets built via splines or
polynomials). The coverage of interpolation and splines to
construct wavelet is good, but the authors quickly gloss over
the other critical half of the problem: how to construct a
scaling function for a given interpolating wavelet. I have
read over this material several times and I have not found the
answer. I have come to doubt that the answer is there, at
least in a complete form.
This characterizes much of the book. The authors cover
important material, but if you are not already deeply
familiar wavelet mathematics, it may be difficult or
impossible to implement an algorith from the coverage
provided in this book. Many practical issues are missing.
For example, many wavelets calculated on a finite data set
like an image can have edge effects. There is little
in this book on minimizing edge effects.
If you are already familiar with wavelet algorithms and their
implementation, this book may be a great reference for wavelet
applications in computer graphics. But it is by no means
an introduction for the novice.
Rating: 5 out of 5
Excellent Introductory Book
I shall be brief and skip saucy words and go to the main point: Why you should acquire this book? 2 Reasons. 1)Michael Lounsbery, Tony D. DeRose and Joe Warren, "Multiresolution analysis for surfaces of arbitrary topological type" 2)"Multiresolution curves", Adam Finkelstein and David H. Salesin.
The authors offer their knowledge in an early stage and this honour them in the largest extent! This book provides an expleantion for these two papers and their branches(papers originating from these theories).
Rating: 4 out of 5
This is a fine introduction to wavelets for computer scientists, with many fun applications in computer graphics. Easier than other introductions I've seen, in part because it avoids the frequency domain. I'm using it in a graduate course, but it would be easy to use by yourself or in a special seminar for undergraduates in CS or math.
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