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Quantitative Analysis of Face Symmetry.
1From the Ben-Gurion University of the Negev, Beer-Sheba, Israel.
The Journal of Craniofacial Surgery
|June 17, 2015
Summary
Human face symmetry was quantitatively assessed using digital images. Results indicate that human faces exhibit a degree of asymmetry, with a new metric quantifying this variation.
Area of Science:
- Anthropometry
- Biometrics
- Computer Vision
Background:
- Facial symmetry is a concept explored in various scientific fields.
- Previous studies have qualitatively or less quantitatively assessed facial symmetry.
- Digital image analysis offers new possibilities for objective measurement.
Purpose of the Study:
- To quantitatively measure the degree of human face symmetry.
- To develop a method for assessing facial asymmetry from digital images.
- To report the degree of asymmetry for a sample of internet-sourced human face images.
Main Methods:
- Construction of symmetric face combinations (left-left, right-right) from original images.
- Utilizing computer software to measure geometric features: face perimeter/area, interpupillary distance, mouth dimensions, nose length, and pupil dimensions.
- Calculation of a symmetry index (C) based on measurements of real vs. symmetric combinations.
Main Results:
- A quantitative index (C) was developed to represent facial symmetry.
- High C values indicate low symmetry, while decreasing C values indicate increasing symmetry.
- The study found that human faces possess a degree of asymmetry, with quantitative data provided.
Conclusions:
- Human faces are not perfectly symmetrical.
- The developed method provides a quantitative measure of facial asymmetry.
- Further research can explore factors influencing facial symmetry.
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