Computes the ISV session offset
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.
|Endpoint Name||Data Format||Nature|
The code for this algorithm in Python
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Given a feature vector, a GMM and a U subspace, computes the session offset (xi, j).
Specific details can be found in [McCool2013].
This algorithm relies on the `Bob <http://www.idiap.ch/software/bob/>`_ library.
The inputs are:
The output, isv_offset, is the latent variable xi, j ( Eq. (29) in [McCool2013]) that corresponds to the session offset.
|[McCool2013]||(1, 2) McCool, Christopher, et al. "Session variability modelling for face authentication." IET biometrics 2.3 (2013): 117-129.|
This table shows the number of times this algorithm has been successfully run using the given environment. Note this does not provide sufficient information to evaluate if the algorithm will run when submitted to different conditions.