Performs a crop of the periocular region of the face
Algorithms have at least one input and one output. All algorithm endpoints are organized in groups. Groups are used by the platform to indicate which inputs and outputs are synchronized together. The first group is automatically synchronized with the channel defined by the block in which the algorithm is deployed.
Parameters allow users to change the configuration of an algorithm when scheduling an experiment
|left-eye-x||Final position of the left eye (x-coord)||uint32||44|
|left-eye-y||Final position of the left eye (y-coord)||uint32||12|
|color||Final color channel||string||gray||gray, red, green, blue, ichrominance|
|lbp-radius||Radius considered in the LBP bin computation||uint32||2|
|crop-height||Final image height||uint32||25|
|lbp-neighbours||Number of neighbours considered for the LBP bin computation||uint32||8|
|crop-width||Final image width||uint32||58|
|right-eye-x||Final position of the right eye (x-coord)||uint32||11|
|right-eye-y||Final position of the right eye (y-coord)||uint32||12|
The code for this algorithm in Python
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This algorithm performs the conversion of RGB images to: grayscale, red channel, green channel, blue channel or ichrominance of an image followed by a periocular cropping of the face, given the eye center coordinates.
The ichormiance conversion is the one implemented in [Lui2012] and is defined as follows:
I = 0.596*R − 0.275*G − 0.321*B, where R, G and B are respectively the red, green and blue channels.
This implementation relies on the `Bob &amp;amp;amp;amp;lt;http://www.idiap.ch/software/bob&amp;amp;amp;amp;gt;`_ library.
The inputs are:
The output cropped_image is a grayscale cropped image as a two-dimensional array of floats (64 bits).
|[Lui2012]||Lui, Yui Man, et al. &amp;amp;amp;quot;Preliminary studies on the good, the bad, and the ugly face recognition challenge problem.&amp;amp;amp;quot; Computer Vision and Pattern Recognition Workshops (CVPRW), 2012 IEEE Computer Society Conference on. IEEE, 2012.|