A Computational Approach to Digital Chinese Painting and Calligraphy (eBook)
XX, 363 Seiten
Springer Berlin (Verlag)
978-3-540-88148-3 (ISBN)
'A Computational Approach to Digital Chinese Painting and Calligraphy' is a technical book on computer science and its applications in the arts. It focuses on Oriental digital arts, in particular Chinese arts and painting, offering a multi-disciplinary treatment from the angles of computer graphics, interactive techniques, human-computer interaction, and artificial intelligence. The book also discusses the unique difficulties and challenges of using the computer to produce Oriental arts, including research results by the authors and their lessons and engineering experiences behind these efforts.
Songhua Xu is a computer scientist of Zhejiang University and Yale University, as well as an honorary researcher of the University of Hong Kong. Francis C.M. Lau is Professor at the University of Hong Kong where he leads the Systems Research Group in the Department of Computer Science. Yunhe Pan is Professor of Computer Science at Zhejiang University as well as Deputy President of Chinese Academy of Engineering.
Preface 7
Target Audiences 9
A Quick Tour of the Contents 9
Permissions 10
Acknowledgements 11
Contents 13
Part I Introduction 21
1 Computer Science and Fine Arts 22
1.1 Why Use Computers for Arts? 22
1.2 Digital Arts 26
1.3 Examples of Digital Arts 28
1.4 Why Digital Arts Are Computationally Challenging? 34
References 36
Part II Computer Science in Painting: A Brief Survey 40
2 Computer Science in Paintings or Drawings 41
2.1 Introduction 41
2.2 Automatic Generation of Paintings and Drawings from Photographs 41
2.3 Automatic Generation of Painterly Rendering Animation from Videos 48
2.4 Interactive Generation of Painterly Rendering Images 49
2.5 Automatic Generation of Painterly Rendering from 3D Models 50
2.6 Special Support for Digital Painting 58
References 60
Part III Interactive Digital Painting and Calligraphy 64
3 Introduction to Interactive Digital Chinese Painting and Calligraphy 66
3.1 Overview 66
3.2 Background 66
References 71
4 Basic Algorithmic Framework of a Virtual Hairy Paintbrush System 73
4.1 Overview 73
4.2 Introduction 73
4.3 Writing Primitives 78
4.4 The Model and the States 79
4.5 Sampling of the Input Data 86
4.6 Dynamic Adjustments of the Brush 89
4.7 The Writing Process 95
4.8 Customizing the Brush 97
4.9 System Implementation and Experiment Results 101
4.10 Related Work 103
4.11 Conclusion and Future Work 108
References 111
5 Performance Enhanced Virtual Hairy Paintbrush System 116
5.1 Overview 116
5.2 Introduction 116
5.3 Modeling the Paintbrush’s Geometry 118
5.4 Modeling the Paintbrush’s Dynamic Behavior 123
5.5 E-painting System based on Realistic Virtual Brush Modeling 132
5.6 Related Work 134
5.7 Conclusion and Future Work 138
References 139
6 Pigment Component of an Advanced Virtual Hairy Paintbrush System 141
6.1 Overview 141
6.2 Introduction 141
6.3 Previous Work 145
6.4 Pigment Sorption between the Brush and the Paper Surface 147
6.5 Pigment Diffusion on the Paper Surface 149
6.6 Pigment Diffusion at the Brush Tip 151
6.7 Evaporation 153
6.8 Pigment Deposition on the Paper Fibers 154
6.9 Rendering the Simulation Results 155
6.10 Hardware-Accelerated Implementation 160
6.11 Experiment Results 160
6.12 Conclusion and Future Work 165
References 166
7 Rendering Component of an Advanced Virtual Hairy Paintbrush System 170
7.1 Motivation 170
7.2 Overview 172
7.3 Introduction 172
7.4 Related Work 173
7.5 Hair Modeling and Representation 176
7.6 HRIR-DB and Semantics-Aware Texture Function 179
7.7 Constructing the Database of Hair Rendering Intermediate Results 182
7.8 Fast and High Quality Online Hair Rendering 184
7.9 Experiment Results 193
7.10 Conclusion and Future Work 201
References 206
Part IV Automatic Generation of Artistic Chinese Calligraphy 209
8 Principles of Automatic Generation of Artistic Chinese Calligraphy 212
8.1 Overview 212
8.2 Introduction 212
8.3 Problem Formulation and Overall System Architecture 215
8.4 Hierarchical and Parametric Representation 217
8.5 Calligraphic Shape Decomposition 219
8.6 Calligraphic Model Creation from Examples 221
8.7 Generating Artistic Calligraphy 223
8.8 Experiment Results 225
8.9 Possible Applications 229
8.10 Conclusion and Future Work 231
References 233
9 Two Perspectives on Automatic Generation of Artistic Chinese Calligraphy 235
9.1 Overview 235
9.2 A System Engineering Perspective on Automatic Generation of Artistic Chinese Calligraphy 235
9.3 Hierarchical and Parametric Representation 236
9.4 Facsimiling Existent Calligraphy 241
9.5 Generating New Calligraphy 243
9.6 Generating Artistic Calligraphy 248
9.7 An Artificial Intelligence’s Perspective on Automatic Generation of Artistic Chinese Calligraphy 250
9.8 Background 251
9.9 The Synthesis Reasoning Model 251
9.10 A Generic Methodology to Developing Synthesis Reasoning- based Intelligent Systems 256
References 257
10 A Preliminary Attempt at Evaluating the Beauty of Chinese Calligraphy 260
10.1 Overview 260
10.2 Introduction 261
10.3 Previous Work 263
10.4 Calligraphy Representation 264
10.5 Extracting Calligraphy Representation through a Two- phased Method 265
10.6 Calligraphy Aesthetics Evaluation 274
10.7 Automatic Generation of Aesthetic Calligraphy 283
10.8 Intelligent Calligraphy Tutoring System 285
10.9 Conclusion and Future Work 287
References 292
Part V Animating Chinese Paintings 294
11 Animating Chinese Paintings through Stroke- based Decomposition 295
11.1 Overview 295
11.2 Introduction 295
11.3 Painting Decomposition Approach 298
11.4 Appearance Capture and Synthesis of Single Brush Strokes 309
11.5 Separating Overlapping Brush Strokes 312
11.6 Decomposition and Reconstruction Results 315
11.7 Animating Paintings 318
11.8 Discussion 319
11.9 Conclusion and Future Work 325
References 327
Part VI Perspectives 331
12 Final Fantasies for Digital Painting and Calligraphy 332
12.1 Perspectives on Digital Paintbrush Research 332
12.2 Perspectives on Intelligent Calligraphy Research 345
12.3 An Ideal Painting Animation System 352
References 353
Index 357
Erscheint lt. Verlag | 12.5.2009 |
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Reihe/Serie | Advanced Topics in Science and Technology in China | Advanced Topics in Science and Technology in China |
Zusatzinfo | XX, 363 p. |
Verlagsort | Berlin |
Sprache | englisch |
Themenwelt | Kunst / Musik / Theater ► Malerei / Plastik |
Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Literaturwissenschaft | |
Mathematik / Informatik ► Informatik ► Grafik / Design | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Animation • Artificial Intelligence • ATSTC • Computer • Computer Graphics • Design • Digital Calligraphy • Digital Chinese Calligraphy • Digital Chinese Painting • Digital Painting • graphics • Human-Computer Interaction (HCI) • Intelligence • Paintings • Performance • proving • Rendering • ZJUP |
ISBN-10 | 3-540-88148-4 / 3540881484 |
ISBN-13 | 978-3-540-88148-3 / 9783540881483 |
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