Enhancing images of facial expressions

被引:12
作者
Benson, PJ
Campbell, R
Harris, T
Frank, MG
Tovée, MJ
机构
[1] Univ Oxford, Physiol Lab, Oxford OX1 3PT, England
[2] Univ London, London WC1E 7HU, England
[3] Rutgers State Univ, New Brunswick, NJ 08903 USA
[4] Univ Newcastle Upon Tyne, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
来源
PERCEPTION & PSYCHOPHYSICS | 1999年 / 61卷 / 02期
关键词
D O I
10.3758/BF03206887
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Facial images can be enhanced by application of an algorithm-the caricature algorithm-that systematically manipulates their distinctiveness (Benson & Perrett, 1991c; Brennan, 1985). In this study we first produced a composite facial image from natural images of the six facial expressions of fear, sadness, surprise, happiness, disgust, and anger shown on a number of different individual faces (Ekman & Friesen, 1975). We then caricatured the composite images with respect to a neutral (resting) expression. Experiment 1 showed that rated strength of the target expression was directly related to the degree of enhancement for all the expressions. Experiment 2, which used a free rating procedure, found that, although caricature enhanced the strength of the target expression (more extreme ratings), it did not necessarily enhance its purity, inasmuch as the attributes of nontarget expressions were also enhanced. Naming of prototypes, of original exemplar images, and of caricatures was explored in Experiment 3 and followed the pattern suggested by the free rating conditions of Experiment 2, with no overall naming advantage to caricatures under these conditions. Overall, the experiments suggested that computational methods of compositing and caricature can be usefully applied to facial images of expression. Their utility in enhancing the distinctiveness of the expression depends on the purity of expression in the source image.
引用
收藏
页码:259 / 274
页数:16
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