Computes normalized LBP histogram, averaged over frames of the video

This algorithm is a legacy one. The API has changed since its implementation. New versions and forks will need to be updated.

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.

Unnamed group

Endpoint Name Data Format Nature
input_frames system/array_3d_uint8/1 Input
lbp_feature_vector system/array_1d_floats/1 Output

Parameters allow users to change the configuration of an algorithm when scheduling an experiment

Name Description Type Default Range/Choices
radius uint32 1
num-neighbors uint32 8

The code for this algorithm in Python
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This algorithm computes LBP-based feature vector. For a given input set of frames in a video, it computes the normalized LBP histogram. Then, it computes the final feature vector on video level, by averaging the normalized LBP histograms.

The used LBP operator is computed over a circular neighborhood and is uniform.

Details about LBP operator can be found in [Ojala02]


  • radius: Radius of the pixel neighborhood
  • num-neighbors: Number of neighbors to be considered

This algorithm relies on the Bob library.

  1. Ojala, M. Pietikainen, T. Maenpaa: Multiresolution gray-scale and rotation invariant texture classification with Local Binary Patterns. IEEE Transactions on Pattern Analysis and Machine inteligence 2002


Updated Name Databases/Protocols Analyzers
smarcel/ivana7c/simple-antispoofing-updated/1/replay2-antispoofing-lbp-histograms-fix replay/3@grandtest Kanma/iqm_spoof_eer_analyzer/1
sbhatta/ivana7c/simple-antispoofing-updated/1/replay2-antispoofing-lbp-histograms replay/2@grandtest sbhatta/iqm_spoof_eer_analyzer/9
smarcel/ivana7c/simple-antispoofing-updated/1/antispoof-chi2-expA-rr22 replay/1@countermeasure ivana7c/spoofing_eer/1
ivana7c/ivana7c/simple-antispoofing-updated/1/antispoof-chi2-expA replay/1@countermeasure ivana7c/spoofing_eer/1

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.

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