Active shape models—their training and application
Computer Vision and Image Understanding
A tutorial on support vector regression
Statistics and Computing
Facial Features Extraction in Color Images Using Enhanced Active Shape Model
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
MORPH: A Longitudinal Image Database of Normal Adult Age-Progression
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Locating Facial Features with an Extended Active Shape Model
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part IV
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Human faces encode plenty of useful information. Recent studies in psychology and human perception have found that facial features have relations to human weight or body mass index (BMI). These studies focus on finding the correlations between facial features and the BMI. Motivated by the recent psychology studies, we develop a computational method to predict the BMI from face images automatically. We formulate the BMI prediction from facial features as a machine vision problem, and evaluate our approach on a large database with more than 14,500 face images. A promising result has been obtained, which demonstrates the feasibility of developing a computational system for BMI prediction from face images at a large scale.