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Cited by 432

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Stylization and abstraction of photographs

DeCarlo, Doug, Santella, Anthony·2002·Proceedings of the 29th annual conference on Computer graphics and interactive techniques

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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Metadata

Authors
DeCarlo, D., & Santella, A.
Venue
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Publisher
ACM
Published
2002-07
Pages
769-776
OpenAlex
W2240509208
Cited by
432
References
3
FWCI
12.08
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Stylization and abstraction of photographs. https://app.cochat.ai/papers/10.1145/566570.566650
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DeCarlo, D., & Santella, A. (2002). Stylization and abstraction of photographs. Proceedings of the 29th annual conference on Computer graphics and interactive techniques. https://doi.org/10.1145/566570.566650

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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