Human facial illustrations: Creation and psychophysical evaluation

    Authors

    B. Gooch; E. Reinhard;A. Gooch

    Comments

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    Abbreviated Journal Title

    ACM Trans. Graph.

    Keywords

    algorithms; human factors; caricatures; super-portraits; validation; BRIGHTNESS PERCEPTION; FACE RECOGNITION; CARICATURES; DISTINCTIVENESS; EXAGGERATION; PHOTOGRAPHS; Computer Science, Software Engineering

    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.

    Journal Title

    Acm Transactions on Graphics

    Volume

    23

    Issue/Number

    1

    Publication Date

    1-1-2004

    Document Type

    Article

    Language

    English

    First Page

    27

    Last Page

    44

    WOS Identifier

    WOS:000188554700002

    ISSN

    0730-0301

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