Facial symmetry has been a central component in many studies on face
perception. The relationship between bilateral symmetry and subjective judgments
on faces is still arguable in the literature. In this study, a database of natural
looking face images with different levels of symmetry is constructed using several
digital preprocessing and morphing methods. Our aim is to investigate the
correlations between quantified asymmetry, perceived symmetry and a subjective
judgment: &lsquo / attractiveness&rsquo / . Images in the METU-Face Database are built to
represent three levels of symmetry (original, intermediate, and symmetrical)
within five classes which also represent the orientation of bilateral symmetry: left versus right. In addition, the asymmetry of original images is quantified using a
landmark-based method. Based on the theory of holistic face perception, we
introduce a novel method to quantify facial asymmetry wholesomely: Entropybased
quantification. In Experiment 1 and 2, images were rated on attractiveness
judgments and on perceived symmetry, respectively. Results indicate that
landmark-based quantifications were not sufficient to account for perceived
symmetry ratings (SRs), but they revealed that as the vertical deviation of the
symmetry decreases, attractiveness rating (AR) collected from that face increases.
Moreover, morphing classes and their relationship to both ARs and SRs were
highly correlated. Consistent with the previously done research, symmetrical
images were found more attractive. We found that although ARs were the same
for left versus right composites, for SRs, there is a significant difference between
left and right. Finally, a more elucidative quantification approach for subjective
face perception is achieved through significant correlations of entropy scores with
both ARs and SRs.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12609881/index.pdf |
| Date | 01 September 2008 |
| Creators | Dovencioglu, Dicle N |
| Contributors | Gokcay, Didem |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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