Data-Driven Facial Beauty Analysis: Prediction, Retrieval and Manipulation

Transferring Rich Deep Features for Facial Beauty Prediction

Feature extraction plays a significant part in computer vision tasks. In this paper, we propose a method which transfers rich deep features from a pretrained model on face verification task and feeds the features into Bayesian ridge regression algorithm for facial beauty prediction. We leverage the deep neural networks that extracts more abstract features from stacked layers. Through simple but...

Ideals of facial beauty.

Facial aesthetic procedures are central to cosmetic dermatology. Success depends not only on improving individual structures but also on establishing facial harmony. Several canons of aesthetic dimensions have been described, and these concepts can provide a useful basis for procedural planning. Here, we review aesthetic facial measurements and proportions as well as the variations that may occ...

Facial Beauty and Fractal Geometry

What is it that makes a face beautiful Average faces obtained by photographic or digital blending are judged attractive but not optimally attractive digital exagger ations of deviations from average face blends can lead to higher attractiveness ratings My novel approach to face design however does not involve blending at all Instead the image of a female face with high ratings is composed from ...

Data - Driven Facial Modeling and Animation

Avatars, computer animation, and other forms of human-centric computing all potentially require the generation of novel but realistic facial appearance and motion. Such face modeling and animation has recently been the province of computer artists. While manually animated computer faces can be quite expressive, they usually fall short of complete realism in their appearance and motion (the rece...

Bayesian Prediction in Spatial Data Analysis