As per the finding that 32 faces are seen as more attractive; I used this as the threshold for the amount of faces to average. The selection of images to use was based on my own criteria: facing forward, eyes looking into the camera, limited facial expression, decent size and decent colouration.
For each ‘category’ (Male and female, attractive and unattractive) I aligned and resized the images, until the internal features of the face (eyes, nose, lips and chin) were as aligned as feasibly possible. Then they were averaged....
What’s interesting is that attractive male and female faces seem to have similar structures and similarities. When aligning the images in Photoshop; I could see that faces which appeared completely different actually have similar basic proportions. You can see this in the averages and in relation to conformity with the Marquardt mask.
The most interesting aspect, to me, is the incoherence seen in the ‘unattractive’ averages. Attractive faces seem to conform to a basic attractive structure, with little variance of internal features. Unattractive faces have more varying features – this would explain why the unattractive averages are less coherent.
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