英译汉,不要机译,We propose a novel descriptor for facial features a

英译汉,不要机译,
We propose a novel descriptor for facial features analysis,pyramid of local binary
pattern (PLBP) (refer Section 3).PLBP is a spatial representation of local binary
pattern (LBP) (Ojalaet al.,1996 ) and it represents stimuli by its local texture (LBP)
and the spatial layout of the texture.We combined pyramidal approach with LBP
descriptor for facial feature analysis as this approach has already been proved to be
very effective in a variety of image processing tasks (Hadjidemetriou et al.,2004 ).
Thus,the proposed descriptor is a simple and computationally efficient extension of
LBP image representation ,and it shows significantly improved performance for
facial expression recognition tasks for low resolution images.We base our framework
for automatic facial expression recognition (FER) on human visual system (HVS)
(refer Section 5),so it extracts PLBP features only from the salient regions of the face.
To determine which facial region(s) are the most important or salient according to
HVS,we conducted a psycho-visual experiment using an eye-tracker (refer Section 4).
We considered six universal facial expressions for psycho-visual experimental study
as these expressions are proved to be consistent across cultures (Ekman,1971 ).These
six expressions are anger,disgust,fear,happiness,sadness and surprise.The novelty of
the proposed framework is that,it is illumination invariant,reliable on low resolution
images and works adequately for both i.e.posed and spontaneous expressions .