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Updated: Jul 5, 2026

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Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
Published on: December 24, 2015
Prototypes of facial attributes developed through image averaging techniques
S S Hawkins1, D I Perrett, D M Burt
1Unilever Research US, Edgewater, NJ, USA.
International Journal of Cosmetic Science
|May 29, 2008
Summary
This study quantifies facial changes using image analysis. Facial prototypes created from expert ratings help assess skin care product effects on appearance.
Area of Science:
- Computer vision
- Dermatology
- Aesthetics
Background:
- Image capture and quantification are valuable across scientific fields.
- Assessing clinical and consumer-perceivable facial changes requires robust methods.
Purpose of the Study:
- To quantify clinical and consumer-perceivable changes in facial attributes using image analysis.
- To develop and validate a methodology for assessing facial attribute changes.
Main Methods:
- Trained expert assessors identified and graded 19 facial attributes in over 240 subjects.
- Facial prototypes were created by averaging faces based on expert ratings for specific attributes.
- A 3-step process involved feature point selection, average face shape calculation, and image morphing/blending.
Main Results:
- Naive assessors could discern differences between facial prototypes.
- Expert graders could identify the general class of facial attribute affected by the prototypes.
- The developed method demonstrated effectiveness in differentiating facial attribute variations.
Conclusions:
- The image analysis methodology provides a powerful tool for quantifying facial attribute changes.
- This approach is suitable for assessing the effects of skin care technologies and other interventions.
- Objective quantification of subjective facial perceptions is achievable through advanced image processing.
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