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References to a depth-sensing front-facing camera were found, likely part of the sensing system used for face recognition, which will enable new camera effects and tricks, including something called "ARFaceAnchor".
For example, the algorithms used for face recognition and filtering job applicants have been shown to exhibit racial bias.
All color spaces such as RGB, HIS, and YCbCr can be used for face recognition [33].
This corresponds to our intuition and also obeys the traditional weighted maps used for face recognition.
For instance, the orthogonal 2D Zernike moments and their variants have been used for face recognition in [39 42].
In this paper, the moments that will be used for face recognition are obtained from the orthogonal Gaussian-Hermite polynomials.
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The example below shows some of the typical low-dimensional facial features one can use for face recognition.
PCA has widely been used for face and expression recognition [23, 41] with good accuracy and more recently has also been used as a DR technique [7, 14, 42, 43].
This means that the computationally expensive ICA projection is unnecessary for further process and involved PCA process of ICA, whether PCA I or II, can be used directly for face recognition.
Liu et al. [25] proposed an optimal sampling of Gabor features using PCA for face recognition.
While I rarely find a use for face recognition and such, it's become part of a standard feature set that people expect, and the TL500 doesn't seem to sport any of the usual bells and whistles.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com