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Human facial illustrations: Creation and psychophysical evaluation

Published:01 January 2004Publication History
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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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          cover image ACM Transactions on Graphics
          ACM Transactions on Graphics  Volume 23, Issue 1
          January 2004
          96 pages
          ISSN:0730-0301
          EISSN:1557-7368
          DOI:10.1145/966131
          Issue’s Table of Contents

          Copyright © 2004 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 1 January 2004
          Published in tog Volume 23, Issue 1

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