Abstract - Personalized Beauty Detection System

Main Idea

In this project, we want to build a personalized model for beauty detection. Although some general rules are used to judge how a person looks, the perception of what a beauty should be could be different for everybody. Hence, by analyzing photos of persons who are recognized as beauties by a user, we can have an idea of the user’s preference.


Possible Applications

1. This design can be applied to online album to help a user filter photos that might contain beauties from his perspective.

2. Marriage clubs can use this design to choose a member some appropriate targets, whose appearances conforming to the member’s taste.


Practical Process

1. Build a database of beauties so that a user can select the ones that are considered as really beauties in his opinion. Also, a user can upload beauties’ photos, which are grouped according to their identifications.

2. Build a characteristic model for each beauty by analyzing all photos of her in our database.

PS1: In order to avoid the problem that a user’s perspective of beauties may contain very different beauty styles, we collect the beauties photos which are grouped according to their identification and generate face model for each beauty. If all the beauties photos are composed of a single model, we may not catch the truly attractive characteristics of each beauty but generate a mixed model that looks not pretty at all. Therefore, we will establish the characteristic models for each beauty.

PS2: We have not decided what feature will be utilized in this project. We will try several different features and do experiments to test the performances of different features.

3. Based on the information provided by the user, that is, the ones that are chosen as beauties by him, the preference of him can be learned.

4. Take some photos for testing, and display photos with higher scores on screen in order. After the results are shown, the weights of the models can be tuned through a relevance feedback mechanism with the user’s help.


Present Difficulties

1. What feature should be used to build the characteristic models?

2. Photos might diverge in both sharpness and brightness.

3. To remove the influence of background, a good face detection technique should be involved in.