A novel spontaneous facial expression recognition using dynamically weighted majority voting based ensemble classifier
Abstract Facial Expression Recognition (FER) is inherently data driven. Spontaneous
expressions are substantially different from posed expressions. Spontaneous facial …
expressions are substantially different from posed expressions. Spontaneous facial …
[PDF][PDF] Facial expression recognition using hybrid texture features based ensemble classifier
MA Jaffar - … journal of advanced computer science and …, 2017 - pdfs.semanticscholar.org
Communication is fundamental to humans. In the literature, it has been shown through many
scientific research studies that human communication ranges from 54 to 94 percent is non …
scientific research studies that human communication ranges from 54 to 94 percent is non …
An adaptive training based on classification system for patterns in facial expressions using SURF descriptor templates
Most facial expression recognition (FER) systems used facial expression data created
during a short period of time and this data is used for learning/training of FER systems …
during a short period of time and this data is used for learning/training of FER systems …
An automatic method for motion capture-based exaggeration of facial expressions with personality types
Facial expressions have always attracted considerable attention as a form of nonverbal
communication. In visual applications such as movies, games, and animations, people tend …
communication. In visual applications such as movies, games, and animations, people tend …
[PDF][PDF] M. Sultan Zia, Majid Hussain &
MA Jaffar - researchgate.net
Abstract Facial Expression Recognition (FER) is inherently data driven. Spontaneous
expressions are substantially different from posed expressions. Spontaneous facial …
expressions are substantially different from posed expressions. Spontaneous facial …