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(i) The CoLBP features are capable to extract face discriminative features.
"Lensa utilizes a bunch of Machine Learning algorithms to precisely extract face skin from the image and then retouching portraits like a professional artist," is how it describes the app, adding: "The process is fully automated, but the user can set up an intensity level of the effect".
They found that Asian participants' scanning patterns would show similarities to Caucasian scanning patterns when they were prevented from using their peripheral vision to extract face identity information.
The ubiquity and social importance of faces in human life have pushed the visual system to adopt extremely fast and efficient strategies to extract face information.
Such hierarchical progressions toward view invariance may therefore be a general property of high-level face representations, regardless of whether these hierarchies serve to extract face identity or the direction of another's gaze.
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The frame rate of videos Additional file 1: Video 1, Additional file 2: Video 2, Additional file 3: Video 3 and Video 6 is 25 frames per second and 13 frames per second for videos Additional file 4: Video 4 and Additional file 5: Video 5. To extract faces, we use the classic Viola Jones [31] face detector implemented in OpenCV library.
CoLBP features are capable of extracting face discriminative features.
From this experiment, the following can be concluded: (i) CoLBP features are capable of extracting face discriminative features.
It is widely used in face recognition and expression classification, due to its remarkable performance in extracting face shape and texture information.
A full-face model consisting of the contour points and the control points is designed to describe the face patch, using which the warping/normalization of the extracted face patch can be performed efficiently.
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