FEMALE FACIAL BEAUTY ANALYSIS FOR ASSESSMENT OF FACIAL ATTRACTIVENESS
Dr. Qaim Mehdi Rizvi Dept. of Computer Science Qassim University, Kingdom of Saudi Arabia
Outline of Research Work Research Objectives Why study Attractiveness? Facial Beauty Hypothesis Research Methodology Test Results Future Scope
Research Objectives ď ś Beauty Scoring System To develop a reliable facial beauty scoring system which scores faces based on their facial attractiveness.
ď ś Suggestions to improve facial beauty To provide some cosmetic and facial surgery suggestions, which will help the user to improve her facial beauty.
ď ś Auto-beautification To output an auto-beautified facial image of the input image and tell up to what extent the face can be beautified.
Why Study Attractiveness Attractiveness Judgments influence key Social outcomes across the lifespan! People preferentially mate, date, associate with, employ, and even vote for physically attractive individuals. Worldwide Annual expenditure on cosmetics: $18 Billion while Annual expenditures required to eliminate hunger and malnutrition: $19 Billion.
Facial Beauty Hypothesis Symmetry Golden Ratio & The Beauty Mask Averageness
Symmetry Hypothesis ď ś Symmetric Faces tend to be more attractive than the asymmetric faces.
ď ś Symmetric left-left and right-right counter parts of asymmetric faces also tend to be more attractive than original face.
Golden Ratio & The Beauty Mask ď ś Dr. Stephen Marquardt has developed a Beauty Mask for Ideal Beautiful Female Face. ď ś Warping of a face to this beauty mask makes it more beautiful.
+ Less Attractive Face
= Beauty Mask
More Attractive Face
Theory of Averageness
+
+
=
Research Methodology Training Module
Application Module
• Dataset Collection • Rating Collection
• Algorithm Design • Application Design
Training Dataset
Rating Method Internal Rating (out of 5)
Based on the Pageant’s Judges’ Scores Winner 5 st 1 runner-Up 4 2nd Runner-Up 3
External Rating (out of 5) Based on Ratings of our experts collected through survey (1,2,3,4 or 5).
Quantification of Facial Beauty Facial Geometry
After an exhaustive correlation analysis performed on more than 60 facial distances 12 Distances are selected. 7 ratios are calculated.
Beauty Mask
Same distances and ratios are calculated for the MBA’s Beauty Mask.
Correlation between the ratios and ratings
Training Algorithm Distance & Ratio Calculator
Image Database
Beauty Mask
Difference Calculator Scores Database
Correlation Analysis & Ratio Filter
Filtered Ratios
Algorithm Implementation Distance & Ratio Calculator RI
Suggestion Generator
Difference Calculator
RM Difference
Correlation Analysis & Ratio Filter 8.6
9.1 6.7
Scores
Min. Difference Max. Difference
Why Ratios & not exact Differences To define a Universal Rule If exact differences were used It’ll be limited to a particular race. Using ratios Makes it suitable for generalization over variety of faces.
Application Design Data Collection Application
A Java Applet with MS Access 2010 database connectivity.
Main Application
A MATLAB program analysis and implementation.
Test Results Celebrities’ Faces
Tested for 30 faces of celebrities and models.
SL
SCORE
NO OF CELEBRITIES (%)
1
8 – 10
24 (80 %)
2
6–8
6 (20 %)
3
4–6
0 (0 %)
4
2–4
0 (0 %)
5
0–2
0 (0 %)
Agreement with Averageness Hypothesis
Average female face (of 64 faces) scored 9.22/10.
Test Results Agreement with previous research results.
Our test results were very motivated and we got 87.5% positive response.
Beautiful
(9.49)
Good Looking Common Looking
(8.02)
(8.91)
Poor Looking
(4.51)
Asian Beauty Caucasian Beauty Unattractive
Ugly
(8.98)
(1.74)
(9.17)
(3.27)
Main Application ď ś Making Beauty: Cosmetic Make-Up Application
Before Makeup
After Makeup
Main Application ď ś Pre-Surgery Planning: Aesthetic Surgery Application
Pre Surgery
Post Surgery
Future Scope Variation in weightage of ratios Developing a priority-wise list of ratios.
Improvement in facial surgery suggestions Improve its accuracy and give more reliable results.
Considering other aspects Skin colour and texture.
Predicting Male Attractiveness
Thanks