Analysis of landmarks in recognition of face expressions

被引：3
作者：
Alugupally N. [1 ]
Samal A. [1 ]
Marx D. [2 ]
Bhatia S. [3 ]
机构：
[1] Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln
[2] Department of Statistics, University of Nebraska-Lincoln, Lincoln
[3] Department of Mathematics and Computer Science, University of Missouri-St. Louis, St. Louis
来源：
Pattern Recognition and Image Analysis | 2011年 / 21卷 / 4期
关键词：
Face expressions; face features; linear discriminant analysis; statistical analysis;
D O I：
10.1134/S105466181104002X
中图分类号：
学科分类号：
摘要：
Facial expression is a powerful mechanism used by humans to communicate their emotions, intentions, and opinions to each other. The recognition of facial expressions is extremely important for a responsive and socially interactive human-computer interface. Such an interface with a robust capability to recognize human facial expressions should enable an automated system to effectively deploy in a variety of applications, including human computer interaction, security, law enforcement, psychiatry, and education. In this paper, we examine several core problems in face expression analysis from the perspective of landmarks and distances between them using a statistical approach. We have used statistical analysis to determine the landmarks and features that are best suited to recognize the expressions in a face. We have used a standard database to examine the effectiveness of landmark based approach to classify an expression (a) when a face with a neutral expression is available, and (b) when there is no a priori information about the face. © 2011 Pleiades Publishing, Ltd.
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收藏
页码：681 / 693
页数：12
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