‘Selfies’ Reveal Systematic Deviations from Known Principles of Photographic Composition

in Art & Perception
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We used ‘selfies’, self-portraits taken with a hand-held smartphone camera, to test three known principles of photographic composition: The rule of thirds, the golden ratio rule, and the eye centering principle. Although they are often taught and discussed, the origin of these principles remains unclear. It is possible that they stem from constraints on human perceptual processes. Alternatively, these principles might serve more practical purposes, such as forcing photographers to explore all quadrants of the image. Selfies provide an ideal test bed for these questions due to the control they give self-photographers when they compose the photograph. We used a database of images created by non-professional photographers (N=388). After analysis, we conclude that there little support for any of the three principles, suggesting that none is strongly rooted in spontaneous perceptual preferences.

‘Selfies’ Reveal Systematic Deviations from Known Principles of Photographic Composition

in Art & Perception

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References

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Figures

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    Portrait condition results. Relative positions of five candidate face features (right eye pupil, left eye pupil, nose center, right mouth corner, left mouth corner) are plotted against the predictions of the ROT (dashed grey lines), GRR (solid grey), and ECP (dotted grey). Right and left refer to the self-portrait facing towards the viewer, not to the position relative to the page. Thus the right eye is actually plotted on the left in the diagram. This figure is published in color in the online version.

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    Landscape condition results. All plotting conventions as in Fig. 1. This figure is published in color in the online version.

  • View in gallery

    Portrait forcing 3/4 condition results. All plotting conventions as in Figs 1 and 2. This figure is published in color in the online version.

  • View in gallery

    Relative frequencies of selfies with at least one feature falling within a given tolerance area around the lines predicted by the ROT (left) and the GRR (right). With a 2% tolerance, about 30% of images were consistent with the ROT predictions; about 40% were consistent with the GRR predictions. This figure is published in color in the online version.

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