CS280A Project: Automatic Prediction of Human Attractiveness
نویسندگان
چکیده
We apply computer vision methods to the task of automatically predicting human attractiveness from frontal face images. A dataset of thousands of images and corresponding scores was obtained from a popular website that asks viewers to rate the attractiveness of the people appearing in the images. Using a combination of radial basis functions and specialized feature detectors, we achieved moderate success in estimating female attractiveness. However, male attractiveness proved more difficult to predict. We believe significant improvements are possible through future development of new feature types.
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