Ching Y. Suen
Director, Centre for Pattern Recognition and Machine Intelligence
Concordia University, Canada
Title: Judging Female Facial Beauty by Computer
Biography
Biography: Ching Y. Suen
Abstract
Beauty is one of the foremost ideas that define human personality. In this talk, various approaches to the comprehension and analysis of human beauty are presented and the use of these theories is outlined. Each set of theories is translated into a feature model that is tested for classification. Selecting the best set of features that result in the most accurate model for the representation of the human face is a key challenge. This research introduces the combined use of three main groups of features for classification of female facial beauty, to be used with classification through support vector machines. It concentrates on building an automatic system for the measurement of female facial beauty. The approach used is one of analyses of the central tenets of beauty, the successive application image processing techniques, and finally the usage of relevant machine learning methods to build an effective system for the automated assessment of facial beauty. Plenty of examples will be illustrated during the talk.