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ABSTRACT
Based on artistic methods used for manipulating perception, we present a technique that creates facial images with conflicting emotional states at different spatial frequencies. The foveal and peripheral components of the human visual system tend to interpret emotional states differently, adding a degree of elusiveness to the facial image. Our technique first isolates the coarser low spatial frequency components and finer high spatial frequency details from two images with differing facial expressions. We then perform image segmentation with edge detection, and morph the images. In practice we have found that high spatial frequency elements determine the dominant expression in the resulting image, while the low spatial frequency elements contribute subtlety.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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DURAND, F., AGRAWALA, M., GOOCH, B., INTERRANTE, V., OSTROMOUKHOV, V., AND ZORIN, D. 2002. Perceptual and artistic principles for effective computer depiction. In Course 13, SIGGRAPH 2002, San Antonio, Texas, ACM.
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EKMAN, P. 2003. Emotions Revealed: Recognizing Faces and Feelings to Improve Communication and Emotional Life. Henry Holt and Company, Incorporated.
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GOMBRICH, E. H. 1995. Story of Art. Phaidon Press, Incorporated.
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LIVINGSTONE, M. 2002. Vision and Art: The Biology of Seeing. Harry N. Abrams.
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