| 摘要 |
A computer vision dating system analyzes combinations of face features of user photographs and recommends potential dating partners. A user selects preferred and not-preferred faces from a sample of other users' pictures. The system analyzes the features of the preferred and not-preferred faces comparing combinations of features in both categories with features of other users in the database to find users that most match the collective features preferred by the user. The recommended photographs are presented to the user. Data from the user's profile input are analyzed to automatically generate sample photographs from which the user selects his/her preferences. As users are presented photographs after their sample selection, they can continue to select and reject photos allowing the system to learn and refine the combinations of features and better locate those that most conform to a user's most preferred photo images. |
