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Cited by 229

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Human facial illustrations: Creation and psychophysical evaluation

Open access
Gooch, Bruce, Reinhard, Erik, Gooch, Amy·2004·ACM Transactions on Graphics

Abstract

We present a method for creating black-and-white illustrations from photographs of human faces. In addition an interactive technique is demonstrated for deforming these black-and-white facial illustrations to create caricatures which highlight and exaggerate representative facial features. We evaluate the effectiveness of the resulting images through psychophysical studies to assess accuracy and speed in both recognition and learning tasks. These studies show that the facial illustrations and caricatures generated using our techniques are as effective as photographs in recognition tasks. For the learning task we find that illustrations are learned two times faster than photographs and caricatures are learned one and a half times faster than photographs. Because our techniques produce images that are effective at communicating complex information, they are useful in a number of potential applications, ranging from entertainment and education to low bandwidth telecommunications and psychology research.

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Crossref · 10.1145/966131.966133

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Metadata

Authors
Gooch, B., Reinhard, E., & Gooch, A.
Venue
ACM Transactions on Graphics
Published
2004-01
Volume
23
Issue
1
Pages
27-44
ISSN
  • 0730-0301 (ISSN-L)
  • 1557-7368
OpenAlex
W2081493228
Cited by
229
References
2
FWCI
13.59
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Human facial illustrations: Creation and psychophysical evaluation. https://app.cochat.ai/papers/10.1145/966131.966133
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Gooch, B., Reinhard, E., & Gooch, A. (2004). Human facial illustrations: Creation and psychophysical evaluation. ACM Transactions on Graphics. https://doi.org/10.1145/966131.966133

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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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