female facial beauty

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 Beauty Scoring System

To develop a reliable facial beauty scoring system which scores faces based on their facial attractiveness.

Suggestions to improve facial beauty To provide some cosmetic and facial surgery suggestions, which will help the user to improve her facial beauty.

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 Symmetric Faces tend to be more attractive than the asymmetric

faces.

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 Dr. Stephen Marquardt has developed a Beauty Mask for Ideal

Beautiful Female Face.

Warping of a face to this beauty mask makes it more beautiful.

Less Attractive Face

More Attractive Face

Beauty Mask

+ =

Theory of Averageness

+ + =

Research Methodology

Training Module

• Dataset Collection

• Rating Collection

Application Module

• Algorithm Design • Application Design

Training Dataset

Rating Method

Based on the Pageant’s Judges’ Scores

Winner 5

1st runner-Up 4

2nd Runner-Up 3

Internal Rating (out of 5)

Based on Ratings of our experts collected through survey (1,2,3,4 or 5).

External Rating (out of 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

Scores Database

Training Algorithm

Image Database Beauty Mask Distance & Ratio

Calculator

Difference Calculator

Correlation Analysis & Ratio Filter

Filtered Ratios

Algorithm Implementation

Correlation Analysis & Ratio Filter

Suggestion Generator

Difference Calculator

Distance & Ratio Calculator

Scores

6.7

8.6 9.1

Min. Difference

Max. Difference

Difference

RI

RM

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 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 %)

Celebrities’ Faces Tested for 30 faces of celebrities and

models.

Agreement with Averageness Hypothesis Average female face (of 64 faces) scored 9.22/10.

Test Results Agreement with previous research results.

Beautiful

(9.49)

Good Looking

(8.02) Common Looking

(8.91) Poor Looking

(4.51)

Asian Beauty

(9.17)

Caucasian Beauty

(8.98) Ugly

(1.74)

Unattractive

(3.27)

Our test results were very motivated and we

got 87.5% positive response.

Main Application Making Beauty: Cosmetic Make-Up Application

Before Makeup After Makeup

Main Application 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