Generative Modeling for Computer Graphics and CAD: Symbolic Shape Design Using Interval Analysis

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Editorial Reviews

Booknews
Generative modeling is a new, symbolic approach to geometric modeling that addresses the problem of representing shapes in the computer, and how the designer can conveniently convert designs into computer representations. This volume is written for anyone with a serious interest in computer graphics. A color insert shows examples of some of the remarkable shapes generated. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780126540406
  • Publisher: Elsevier Science & Technology Books
  • Publication date: 10/1/1992
  • Pages: 311

Table of Contents

Foreword
Preface
Acknowledgments
Index of Figures
1 Introduction 1
1.1 User vs. Machine Shape Representations 2
1.2 Criteria for Evaluation of a Shape Representation 3
1.3 Previous Work in Shape Representation 5
1.4 Areas for Improvement in Shape Representation 10
1.5 The Generative Modeling Approach 13
1.6 Generative Modeling: The State of the Art 16
2 Shape Representation 23
2.1 Generative Models: A Domain of Shapes 23
2.2 Specifying Generative Models 26
2.3 Development of the Generative Modeling Representation 49
3 Shape Specification Examples 57
3.1 GENMOD Preliminaries 57
3.2 Generative Surfaces 60
3.3 Other Generative Shapes 92
4 Shape Rendering 97
4.1 Categorizing Generative Models for Rendering 98
4.2 Sampling Generative Models 108
4.3 Controlling Visualization of Generative Models 113
5 Interval Methods for Shape Synthesis and Analysis 121
5.1 Why Interval Analysis? 122
5.2 Inclusion Functions 123
5.3 Constraint Solution Algorithm 138
5.4 Constrained Minimization Algorithm 158
6 Applying Interval Methods to Geometric Modeling 163
6.1 Offset Operations 163
6.2 Approximating Implicit Curves 171
6.3 Approximating Parametric Shapes Using Adaptive Criteria 190
6.4 CSG-Like Operations with Trimmed Surfaces 197
6.5 Constructive Solid Geometry with Trimmed Surfaces 211
6.6 Approximating Implicit Surfaces 213
7 Conclusion 219
App. A The GENMOD Language 223
A.1 Language Extensions 223
A.2 Language Types 224
A.3 Language Primitive Operators 226
A.4 Language Extensibility: Building Higher-Level Operators 237
A.5 Operator Libraries 242
App. B GENMOD Code Examples 255
B.1 Sphere/Cylinder Fillet Example 255
B.2 Screwdriver Tip Examples 257
B.3 Bottle Example 260
B.4 Teddy Bear Example 264
App. C Theorems in Interval Analysis 277
C.1 Second Order Convergence of the Mean Value Form 277
C.2 Convergence of the Constraint Solution Algorithm 281
C.3 Convergence of the Minimization Algorithm 282
C.4 Existence of Zeroes 285
C.5 Interval Implicit Function Theorem 290
Bibliography 293
Index 305
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