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What is Point Distribution Model (PDM)

Chapter 16
Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications
It is a model that tries to form a distribution of sample points from the training set. When the PDM is constructed it can approximate the position of each model point in a new image without manual intervention.
Published in Chapter:
Image Processing and Machine Learning Techniques for Facial Expression Recognition
Anastasios Koutlas (University of Ioannina, Greece) and Dimitrios I. Fotiadis (University of Ioannina, Greece)
Copyright: © 2009 |Pages: 16
DOI: 10.4018/978-1-60566-314-2.ch016
Abstract
The aim of this chapter is to analyze the recent advances in image processing and machine learning techniques with respect to facial expression recognition. A comprehensive review of recently proposed methods is provided along with an analysis of the advantages and the shortcomings of existing systems. Moreover, an example for the automatic identification of basic emotions is presented: Active Shape Models are used to identify prominent features of the face; Gabor filters are used to represent facial geometry at selected locations of fiducial points and Artificial Neural Networks are used for the classification into the basic emotions (anger, surprise, fear, happiness, sadness, disgust, neutral); and finally, the future trends towards automatic facial expression recognition are described.
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