Face Recognition with Active Appearance Model (AAM)

Author:

Klavdianos Patrycia Barros de Lima1,Brasil Lourdes Mattos2,Melo Jairo Simão Santana2

Affiliation:

1. Université de Bourgogne, France

2. Universidade de Brasília (UnB), Brazil

Abstract

Recognition of human faces has been a fascinating subject in research field for many years. It is considered a multidisciplinary field because it includes understanding different domains such as psychology, neuroscience, computer vision, artificial intelligence, mathematics, and many others. Human face perception is intriguing and draws our attention because we accomplish the task so well that we hope to one day witness a machine performing the same task in a similar or better way. This chapter aims to provide a systematic and practical approach regarding to one of the most current techniques applied on face recognition, known as AAM (Active Appearance Model). AAM method is addressed considering 2D face processing only. This chapter doesn’t cover the entire theme, but offers to the reader the necessary tools to construct a consistent and productive pathway toward this involving subject.

Publisher

IGI Global

Reference23 articles.

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3. Cootes, T. F. (2004). Statistical models of appearance for computer vision. Online Technical Report. Retrieved December 3, 2011, from http://www.isbe.man.ac.uk/˜bim/refs.html

4. Active Shape Models-Their Training and Application

5. Cootes, T. F., Edwards, G. J., & Taylor, C. J. (1998). Active appearance models. In H. Burkhardt & B. Neumann (Ed.), European Conference on Computer Vision, Vol. 2, (pp. 484-498). Springer.

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