Title :
Estimation of facial expression intensity from a sequence of binary face images
Author :
Saha, Chandrani ; Ghosh, Kuntal
Author_Institution :
Centre for Dev. of Adv. Comput., Kolkata, India
Abstract :
This paper presents a method of estimation of facial expression intensity from a sequence of binary facial images obtained from video. The binarization has been done using a neuro-visual model of figure ground segregation. The Local Binary Pattern (LBP) is taken as characteristic feature of a face with expression. This pattern gets evolved in the temporal domain over the sequence. The dynamics of the pattern, starting from a neutral face, is characterised by Hausdorff distance. Back Propagation (BP) Neural Networks are trained to estimate the expression intensity level of the basic expressions.
Keywords :
backpropagation; emotion recognition; face recognition; image sequences; neural nets; Hausdorff distance; backpropagation neural network; binary face image sequence; facial expression intensity estimation; figure ground segregation; local binary pattern; neurovisual model; neutral face; temporal domain; Estimation; Face; Facial features; Humans; Information processing; Psychology; Video sequences; BP Neural Network; Expression intensity; Figure Ground Segregation; Hausdorff distance; Local Binary Pattern;
Conference_Titel :
Image Information Processing (ICIIP), 2011 International Conference on
Conference_Location :
Himachal Pradesh
Print_ISBN :
978-1-61284-859-4
DOI :
10.1109/ICIIP.2011.6108935
