© 2013

Image and Video-Based Artistic Stylisation

  • Paul Rosin
  • John Collomosse
  • Provides a detailed coverage of 2D image based NPR Contains chapters written by a renowned expert in the field Aimed at to both graduate students and professional developers


Part of the Computational Imaging and Vision book series (CIVI, volume 42)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Strokes, Marks and Filters for Artistic Stylization

    1. Front Matter
      Pages 1-1
    2. David Vanderhaeghe, John Collomosse
      Pages 3-21
    3. Stephen DiVerdi
      Pages 23-44
    4. Oliver Deussen, Tobias Isenberg
      Pages 45-61
    5. Victor Ostromoukhov
      Pages 63-76
    6. Jan Eric Kyprianidis
      Pages 77-101
    7. Eugene Zhang
      Pages 103-121
  3. Stylization from Structure

    1. Front Matter
      Pages 123-123
    2. David Mould
      Pages 125-147
    3. Pascal Barla, Adrien Bousseau
      Pages 149-166
    4. Craig S. Kaplan
      Pages 167-187
    5. Giovanni Puglisi, Sebastiano Battiato
      Pages 189-209
    6. Yu-Kun Lai, Paul L. Rosin
      Pages 211-236
    7. Mingtian Zhao, Song-Chun Zhu
      Pages 237-253
  4. Stylized Animations

    1. Front Matter
      Pages 255-255
    2. Pierre Bénard, Joëlle Thollot, John Collomosse
      Pages 257-284
    3. Daniel Sýkora, John Dingliana
      Pages 285-308
  5. Evaluation and Impact of Artistic Stylization

    1. Front Matter
      Pages 309-309

About this book


Non-photorealistic rendering (NPR) is a combination of computer graphics and computer vision that produces renderings in various artistic, expressive or stylized ways such as painting and drawing. This book focuses on image and video based NPR, where the input is a 2D photograph or a video rather than a 3D model. 2D NPR techniques have application in areas as diverse as consumer and professional digital photography and visual effects for TV and film production.

The book covers the full range of the state of the art of NPR with every chapter authored by internationally renowned experts in the field, covering both classical and contemporary techniques. It will enable both graduate students in computer graphics, computer vision or image processing and professional developers alike to quickly become familiar with contemporary techniques, enabling them to apply 2D NPR algorithms in their own projects.


2D NPR algorithms computer graphics computer vision image based NPR non-photorealistic rendering video based NPR

Editors and affiliations

  • Paul Rosin
    • 1
  • John Collomosse
    • 2
  1. 1.School of Computer Science & InformaticsCardiff UniversityCardiffUnited Kingdom
  2. 2.Centre for Vision Speech & Signal Proc.University of SurreyGuildfordUnited Kingdom

Bibliographic information

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