article

Stylization and abstraction of photographs

Authors:

Anthony SantellaAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 21, Issue 3

Pages 769 - 776

https://doi.org/10.1145/566654.566650

Published: 01 July 2002 Publication History

Abstract

Good information design depends on clarifying the meaningful structure in an image. We describe a computational approach to stylizing and abstracting photographs that explicitly responds to this design goal. Our system transforms images into a line-drawing style using bold edges and large regions of constant color. To do this, it represents images as a hierarchical structure of parts and boundaries computed using state-of-the-art computer vision. Our system identifies the meaningful elements of this structure using a model of human perception and a record of a user's eye movements in looking at the photo; the system renders a new image using transformations that preserve and highlight these visual elements. Our method thus represents a new alternative for non-photorealistic rendering both in its visual style, in its approach to visual form, and in its techniques for interaction.

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Index Terms

Stylization and abstraction of photographs
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision representations
        Hierarchical representations
  2. Computer graphics
    1. Image manipulation
    2. Rendering

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Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 21, Issue 3

July 2002

548 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/566654

Issue’s Table of Contents

Copyright © 2002 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 2002

Published in TOG Volume 21, Issue 3

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Abbasi HAbbasi MHamayat F(2024)Pix2Pix++: An Enhanced GANs Based Model for Portrait to Pencil Sketch Translation2024 18th International Conference on Open Source Systems and Technologies (ICOSST)10.1109/ICOSST64562.2024.10871136(1-6)Online publication date: 26-Dec-2024
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