dc.description.abstract |
A human-computer interaction system for an automatic face recognition or facial
expression recognition has attracted increasing attention from researchers in
psychology, computer science, linguistics, neuroscience and related disciplines. In this
report, we present four things: (a) Face Detection (b) Eye Detection (c) Lip detection
(e) Emotion Detection. The first period of face detection involves skin color detection
using YCbCr color model, flaming reparation for getting uniformity on face and
morphological operations for retaining the required face part. The output of the first
period is used for extracting facial features like eyes, nose and mouth using AAM
(Active Appearance Model) method. The third phase, automatic facial expression
recognition involves simple Euclidean distance method. In this method, the Euclidean
distance between the feature points of the training images and that of the query image
is compared. Based on minimum Euclidean distance output image expression is
selected. |
en_US |