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Human Facial Illustrations



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Human Facial Illustrations Creation and Psychophysical Evaluation BRUCE GOOCH Northwestern University ERIK REINHARD University of Central Florida and AMY GOOCH Northwestern University 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 Categories and Subject Descriptors I 3 3 Computer Graphics Picture image Generation bitmap and framebuffer operations I 3 8 Computer Graphics Applications I 4 3 Image Processing and Computer Vision Enhancement filtering General Terms Algorithms Human factors Additional Key Words and Phrases Caricatures Super portraits Validation 1 INTRODUCTION In many applications a non photorealistic rendering NPR has advantages over a photorealistic image NPR images may convey information better by omitting extraneous detail focusing attention on relevant features and by clarifying simplifying and disambiguating shape The control of detail in an image for purposes of communication is becoming the hallmark of NPR images This control of image detail is often combined with stylization to evoke the impression of



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