diff --git a/bob/pad/face/algorithm/__init__.py b/bob/pad/face/algorithm/__init__.py
index 77265bf492e0f894c2d938013414ba689bb20ab1..c763a329a4bf9771995439461666917d3bcc0de6 100644
--- a/bob/pad/face/algorithm/__init__.py
+++ b/bob/pad/face/algorithm/__init__.py
@@ -1,5 +1,5 @@
from .VideoSvmPadAlgorithm import VideoSvmPadAlgorithm
-
+from .VideoCascadeSvmPadAlgorithm import VideoCascadeSvmPadAlgorithm
def __appropriate__(*args):
"""Says object was actually declared here, and not in the import module.
@@ -9,7 +9,7 @@ def __appropriate__(*args):
Parameters
----------
*args
- The objects that you want sphinx to beleive that are defined here.
+ The objects that you want sphinx to believe that are defined here.
Resolves `Sphinx referencing issues <https//github.com/sphinx-
doc/sphinx/issues/3048>`
@@ -21,5 +21,6 @@ def __appropriate__(*args):
__appropriate__(
VideoSvmPadAlgorithm,
+ VideoCascadeSvmPadAlgorithm,
)
__all__ = [_ for _ in dir() if not _.startswith('_')]
diff --git a/bob/pad/face/config/qm_one_class_svm_cascade_aggregated_db.py b/bob/pad/face/config/qm_one_class_svm_cascade_aggregated_db.py
new file mode 100644
index 0000000000000000000000000000000000000000..6e38cefeb8bbdfaa2fc46ad5e4159fe2c89df504
--- /dev/null
+++ b/bob/pad/face/config/qm_one_class_svm_cascade_aggregated_db.py
@@ -0,0 +1,102 @@
+#!/usr/bin/env python2
+# -*- coding: utf-8 -*-
+
+"""
+This file contains configurations to run Image Quality Measures (IQM) and SVM based face PAD baseline.
+The settings of the preprocessor and extractor are tuned for the Replay-attack database.
+In the SVM algorithm the amount of training data is reduced speeding-up the training for
+large data sets, such as Aggregated PAD database.
+The IQM features used in this algorithm/resource are introduced in the following papers: [WHJ15]_ and [CBVM16]_.
+"""
+
+
+#=======================================================================================
+sub_directory = 'qm_svm_aggregated_db'
+"""
+Sub-directory where results will be placed.
+
+You may change this setting using the ``--sub-directory`` command-line option
+or the attribute ``sub_directory`` in a configuration file loaded **after**
+this resource.
+"""
+
+
+#=======================================================================================
+# define preprocessor:
+
+from ..preprocessor import VideoFaceCrop
+
+CROPPED_IMAGE_SIZE = (64, 64) # The size of the resulting face
+CROPPED_POSITIONS = {'topleft' : (0,0) , 'bottomright' : CROPPED_IMAGE_SIZE}
+FIXED_POSITIONS = None
+MASK_SIGMA = None # The sigma for random values areas outside image
+MASK_NEIGHBORS = 5 # The number of neighbors to consider while extrapolating
+MASK_SEED = None # The seed for generating random values during extrapolation
+CHECK_FACE_SIZE_FLAG = True # Check the size of the face
+MIN_FACE_SIZE = 50
+USE_LOCAL_CROPPER_FLAG = True # Use the local face cropping class (identical to Ivana's paper)
+RGB_OUTPUT_FLAG = True # Return RGB cropped face using local cropper
+
+preprocessor = VideoFaceCrop(cropped_image_size = CROPPED_IMAGE_SIZE,
+ cropped_positions = CROPPED_POSITIONS,
+ fixed_positions = FIXED_POSITIONS,
+ mask_sigma = MASK_SIGMA,
+ mask_neighbors = MASK_NEIGHBORS,
+ mask_seed = None,
+ check_face_size_flag = CHECK_FACE_SIZE_FLAG,
+ min_face_size = MIN_FACE_SIZE,
+ use_local_cropper_flag = USE_LOCAL_CROPPER_FLAG,
+ rgb_output_flag = RGB_OUTPUT_FLAG)
+"""
+In the preprocessing stage the face is cropped in each frame of the input video given facial annotations.
+The size of the face is normalized to ``cropped_image_size`` dimensions. The faces of the size
+below ``min_face_size`` threshold are discarded. The preprocessor is similar to the one introduced in
+[CAM12]_, which is defined by ``use_local_cropper_flag = True``. The preprocessed frame is the RGB
+facial image, which is defined by ``RGB_OUTPUT_FLAG = True``.
+"""
+
+
+#=======================================================================================
+# define extractor:
+
+from ..extractor import VideoQualityMeasure
+
+GALBALLY=True
+MSU=True
+DTYPE=None
+
+extractor = VideoQualityMeasure(galbally=GALBALLY,
+ msu=MSU,
+ dtype=DTYPE)
+"""
+In the feature extraction stage the Image Quality Measures are extracted from each frame of the preprocessed RGB video.
+The features to be computed are introduced in the following papers: [WHJ15]_ and [CBVM16]_.
+"""
+
+
+#=======================================================================================
+# define algorithm:
+
+from ..algorithm import VideoCascadeSvmPadAlgorithm
+
+MACHINE_TYPE = 'ONE_CLASS'
+KERNEL_TYPE = 'RBF'
+SVM_KWARGS = {'nu': 0.001, 'gamma': 0.1}
+N = 2
+POS_SCORES_SLOPE = 0.01
+FRAME_LEVEL_SCORES_FLAG = True
+
+algorithm = VideoCascadeSvmPadAlgorithm(machine_type = MACHINE_TYPE,
+ kernel_type = KERNEL_TYPE,
+ svm_kwargs = SVM_KWARGS,
+ N = N,
+ pos_scores_slope = POS_SCORES_SLOPE,
+ frame_level_scores_flag = FRAME_LEVEL_SCORES_FLAG)
+"""
+The cascade of one-class SVMs with RBF kernel is used to classify the data into *real* and *attack* classes.
+One score is produced for each frame of the input video, ``frame_level_scores_flag = True``.
+A single SVM in the cascade is trained using two features ``N = 2``.
+The positive scores produced by the cascade are reduced by multiplying them with a constant
+``pos_scores_slope = 0.01``.
+"""
+
diff --git a/setup.py b/setup.py
index 43d4b2baae7aab2eae327e2866cee39710bb3064..01fbf4963d02758a9a0d5460150c1d6dbdd1abe5 100644
--- a/setup.py
+++ b/setup.py
@@ -80,11 +80,16 @@ setup(
# baselines:
'lbp-svm = bob.pad.face.config.lbp_svm',
'lbp-svm-aggregated-db = bob.pad.face.config.lbp_svm_aggregated_db',
+
'qm-svm = bob.pad.face.config.qm_svm',
'qm-svm-aggregated-db = bob.pad.face.config.qm_svm_aggregated_db',
+
'qm-one-class-svm-aggregated-db = bob.pad.face.config.qm_one_class_svm_aggregated_db',
+ 'qm-one-class-svm-cascade-aggregated-db = bob.pad.face.config.qm_one_class_svm_cascade_aggregated_db',
+
'frame-diff-svm = bob.pad.face.config.frame_diff_svm',
'frame-diff-svm-aggregated-db = bob.pad.face.config.frame_diff_svm_aggregated_db',
+
'frame-diff-one-class-svm = bob.pad.face.config.frame_diff_one_class_svm',
],