Sentence examples for appearance feature from inspiring English sources

Therefore, the appearance feature is more discriminative than motion cue for fine-grained hand segmentation during the interaction phase (Fig. 4).

Here, we address a coarse-to-fine strategy-based hand segmentation method that learns appearance feature of hand and background on-the-fly.

Considering the appearance feature is prone to be coherence in a local region, we use the distance between two adjacent superpixels to restrict the contribution of the neighboring superpixel.

2. ϕ g (s f ), the 2D correlation coefficient between gray level values of the sample template image I s f, and the gray level values of corresponding previous position of the facial point template image I L, is used as the measure for this appearance feature.

Their corresponding normalization functions ϕ ̄ px ( s f ) and ϕ ̄ py ( s f ) are similar to ϕ ̄ h ( s f ).  . ϕ e (s f ), the 2D correlation coefficient between sample edge image, and the corresponding previous position of the facial point edge image, is used as the measure for this appearance feature and is similar to ϕ g (s f ).

For the j-th pixel in R i, a feature vector f i,j is formed by concatenating the following two component vectors: a) Appearance feature vector [15, 16] mathbf{f}_{i,j}^{,a}= left[r,g,b,|I_{x}|,|I_{y}|,|I_{xx}|,|I_{yy}|,sqrt{I_{x}^{2}+I_{y}^{2}},arctanleft(frac{I_{y}}{I_{x}}right)right]^{T} (8).

Alberto Gonzales's smooth Senate appearance, featuring questions without answers, leaves me with questions of my own.

Among various sensory features, image-based appearance features have often been used for person identification.

For the most part her guest appearance featured remarks that would barely give a viewer pause.

Therefore, we use two illumination-independent features, height and gait, in addition to appearance features for a more robust identification.

Subsequently, a linear regression function is learned that maps appearance features represented by texton distributions to the roughness estimate.