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Analysis of the temporal features and subjective preferences related images of camphor leaves moving in the wind

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Abstract

To clarify the temporal features of camphor leaves moving in the wind, sequential visual images of their movements were recorded. They are analyzed by the autocorrelation function (ACF) and the cross-correlation function (CCF). In order to discuss the preferred temporal properties of sequential images, paired-comparison tests of the analyzed images were conducted. The scale values of the preferences may not be simply described by the wind speed only. A remarkable finding obtained here, however, is that the most preferred condition is found around 0.3 s of the effective duration of the ACF.

© 2000 Optical Society of America

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