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Applying minimal pressure, the probe is then tilted about 45° downwards, with the probe face pointing toward the orbit.
So in the recognition section, we do not have to recognize whether the probe face is expressional.
Some approaches of this branch of research use quality assessment for frame selection in order to match the best possible frame from gallery and probe face video.
During the recognition stage, the temporal characteristics of the probe face sequence were analyzed over time by the HMM corresponding to each subject.
During operations, the most competent classifiers per given probe face are dynamically selected and weighted based on the internal criteria determined in the feature space of e-SVMs.
Identification process is typically a template matching algorithm with templates around the eyes, nose, and mouth, where the only difference is that it matches a probe face image with gallery face images in similar poses.
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Then, for each gallery and probe faces, six subregions of size 9 × 9 which centroids are the same as the standard face are found.
In the testing section, we obtain all the probe faces' two features by using DT-CWT and their two transformation matrices, respectively.
In the testing section, we get all the probe faces' two features by using DT-CWT and the two transformation matrices, respectively.
With the probe facing toward the orbit, it is then tilted about 45° upwards until the iris and pupil are seen in full view.
During each 5-second trial, a subject was presented with a target face (on the top of the computer screen) and two probe faces (on the bottom of the screen) and was instructed to match the probe with the same emotional expression to the target by pressing the left or right key on a button box.
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