Facial modeling has been an ongoing research for many years and still shows trend due to its relevance current technology. Many applications incorporate facial expression with the help of tracking, animation recognition. The existing performance method faces challenges perform well factors. Currently, use 2D images videos as inputs process are gaining popularity. However, technologies developme...

<span lang="EN-US">In the field of consumer science, customer facial expression is often categorized either as negative or positive. Customer who portrays emotion to a specific product mostly means they reject while with positive more likely purchase product. To observe emotion, many researchers have studied different perspectives and methodologies obtain high accuracy results. Convention...

Facial expressions are widely used in the behavioral interpretation of emotions, cognitive science, and social interactions. In this paper, we present a novel method for fully automatic facial expression recognition in facial image sequences. As the facial expression evolves over time facial landmarks are automatically tracked in consecutive video frames, using displacements based on elastic bu...

This paper introduces a new video-based facial expression recognition system. Facial expression analysis encounters two major problems: non-rigid shape deformation and person-specific facial expression appearance. Our method analyzes the video sequence to recognize facial expression and locate the temporal apex of the facial expression by using modified Hough forest and minimizing the influence...