SUBDIVISION METHODS FOR GEOMETRIC DESIGN
Ouvrage 9781558604469 : SUBDIVISION METHODS FOR GEOMETRIC DESIGN
The world's leading animation houses rely
increasingly on subdivision methods for creating realistic-looking
complex shapes. However, until now there was no one
book devoted to this powerful geometric modeling
technique. Subdivision Methods for Geometric Design
does the job with authority and precision, providing all that
is needed to understand how subdivision works its
magic, and how to make that magic work.
Throughout the book, icons cue readers to visit a
companion Web site loaded with interactive exercises,
implementations of the book's images, and
supplementary material. Rich in theory, analysis, and practical
information, this book is the complete resource for
subdivision methods.
Features
The result of a collaboration between a
leading university researcher and an industry practitioner.
The only book devoted exclusively and
comprehensively to this important new technology.
Provides solid background and theoretical
analysis of subdivision as well as a wide variety of specific
applications.
Addresses algorithms for Bezier and uniform
B-Spline curves, Catmull-Clark subdivision for quad meshes,
and regularity tests for polyhedral meshes.
Via the companion Web site,
(www.subdivision.com), provides opportunities for readers to experiment
hands-on with implementations in a richly
interactive environment.
Includes a foreword by Tony DeRose, recipient
of the 1999 ACM Computer Graphics Achievement Award
for his seminal work in subdivision methods.
Author Biography: Joe Warren, Professor of Computer
Science at Rice University since 1986, is one of the
world's leading experts on subdivision. Of his
nearly 50 computer science papers-published in prestigious forums
such as SIGGRAPH, Transactions on Graphics,
Computer-Aided Geometric Design, and The Visual
Computer-a dozen specifically address subdivision
and its applications to computer graphics. Prof. Warren
received both his M.S. and Ph.D. in Computer
Science at Cornell University. His research interests focus on
mathematical methods for representing geometric
shape.
Henrik Weimer is a research scientist at the
DaimlerChrysler Corporate Research Center in Berlin, where he
works on knowledge-based support for the design and
creation of engineering products. Dr. Weimer obtained his
Ph.D. in Computer Science from Rice University.
Table of Contents
Foreword
Preface
Table of Symbols
Ch. 1
Subdivision: Functions as Fractals
1.1
Functions
1.2
Fractals
1.3
Subdivision
Ch. 2
An Integral Approach to Uniform
Subdivision
2.1
A Subdivision Scheme for B-splines
2.2
A Subdivision Scheme for Box Splines
2.3
B-splines and Box Splines as Piecewise
Polynomials
Ch. 3
Convergence Analysis for Uniform
Subdivision Schemes
3.1
Convergence of a Sequence of Functions
3.2
Analysis of Univariate Schemes
3.3
Analysis of Bivariate Schemes
Ch. 4
A Differential Approach to Uniform
Subdivision
4.1
Subdivision for B-splines
4.2
Subdivision for Box Splines
4.3
Subdivision for Exponential B-splines
4.4
A Smooth Subdivision Scheme with
Circular Precision
Ch. 5
Local Approximation of Global
Differential Schemes
5.1
Subdivision for Polyharmonic Splines
5.2
Local Approximations to Polyharmonic
Splines
5.3
Subdivision for Linear Flows
Ch. 6
Variational Schemes for Bounded
Domains
6.1
Inner Products for Stationary
Subdivision Schemes
6.2
Subdivision for Natural Cubic Splines
6.3
Minimization of the Variational Scheme
6.4
Subdivision for Bounded Harmonic
Splines
Ch. 7
Averaging Schemes for Polyhedral
Meshes
7.1
Linear Subdivision for Polyhedral
Meshes
7.2
Smooth Subdivision for Quad Meshes
7.3
Smooth Subdivision for Triangle Meshes
7.4
Other Types of Polyhedral Schemes
Ch. 8
Spectral Analysis at an Extraordinary
Vertex
8.1
Convergence Analysis at an
Extraordinary Vertex
8.2
Smoothness Analysis at an
Extraordinary Vertex
8.3
Verifying the Smoothness Conditions
for a Given
Scheme
8.4
Future Trends in Subdivision
References
Index
Auteur : WARREN
Editeur : MORGAN KAUFMANN
Nombre de pages : 298
Date de publication : 10 2001
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