Techniques for Facial Expression Recognition In Computer Graphics

Authors

  • Pinkal Shah IT Department,BVM Engineering College
  • Chitrang Sheth IT Department,BVM Engineering College
  • Vatsal H. Shah Assistant Professor, BVM Engineering College

Keywords:

facial expression, expression recognition, methods in recognition, robotics, LDA, neural networks.

Abstract

—Facial expressions are the means through which people interact with others, conveying
their feeling of happiness, sadness, contempt, etc. The expressions convey non-verbal cues, which
play an important role in interpersonal relations. We humans having a very essential part in our body
„the brain‟ which can construe the expressions of others very easily, but, this liberty has not been
granted to machines. They need to be explained of what humans are trying to express. This is where
the technology of facial expression recognition comes into the picture. Automatic recognition of
facial expressions can be an important component of natural HCI interface; it may also be used in
behavioral science and in psychological fields. Deducing an effective facial expression from original
face is a criticalprerequisite for the success of facial expression recognition. In this paper, we present
an overview of different methods used in the field of facial expression recognition; highlighting the
major components and the recent advancements in this field.

Published

2014-04-25

How to Cite

Pinkal Shah, Chitrang Sheth, & Vatsal H. Shah. (2014). Techniques for Facial Expression Recognition In Computer Graphics. International Journal of Advance Engineering and Research Development (IJAERD), 1(4), 63–68. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/5435

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