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updated docs

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Davis King 2014-09-14 20:53:01 -04:00
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70
docs/docs/imaging.xml
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@ -144,6 +144,11 @@
<item>binned_vector_feature_image</item>
<item>nearest_neighbor_feature_image</item>
<item>randomly_sample_image_features</item>
<item>make_uniform_lbp_image</item>
<item>extract_histogram_descriptors</item>
<item>extract_uniform_lbp_descriptors</item>
<item>extract_highdim_face_lbp_descriptors</item>
</section>
@ -2265,6 +2270,71 @@
</description>
</component>
<!-- ************************************************************************* -->
<component>
<name>make_uniform_lbp_image</name>
<file>dlib/image_transforms.h</file>
<spec_file link="true">dlib/image_transforms/lbp_abstract.h</spec_file>
<description>
This function extracts the uniform local-binary-pattern feature at every pixel
of an image and stores the output in a new image object.
We use the idea of uniform LBPs from the paper:
<blockquote>
Face Description with Local Binary Patterns: Application to Face Recognition
by Ahonen, Hadid, and Pietikainen.
</blockquote>
</description>
</component>
<!-- ************************************************************************* -->
<component>
<name>extract_histogram_descriptors</name>
<file>dlib/image_transforms.h</file>
<spec_file link="true">dlib/image_transforms/lbp_abstract.h</spec_file>
<description>
This function extracts histograms of pixel values from a set of windows in an
image and returns the histograms.
</description>
</component>
<!-- ************************************************************************* -->
<component>
<name>extract_uniform_lbp_descriptors</name>
<file>dlib/image_transforms.h</file>
<spec_file link="true">dlib/image_transforms/lbp_abstract.h</spec_file>
<description>
Extracts histograms of uniform local-binary-patterns from an image. The
histograms are from densely tiled windows that do not overlap and cover all
of the image.
We use the idea of uniform LBPs from the paper:
<blockquote>
Face Description with Local Binary Patterns: Application to Face Recognition
by Ahonen, Hadid, and Pietikainen.
</blockquote>
</description>
</component>
<!-- ************************************************************************* -->
<component>
<name>extract_highdim_face_lbp_descriptors</name>
<file>dlib/image_transforms.h</file>
<spec_file link="true">dlib/image_transforms/lbp_abstract.h</spec_file>
<description>
This function extracts the high-dimensional LBP feature described in the
paper:
<blockquote>
Blessing of Dimensionality: High-dimensional Feature and Its Efficient
Compression for Face Verification by Dong Chen, Xudong Cao, Fang Wen, and
Jian Sun
</blockquote>
</description>
</component>
<!-- ************************************************************************* -->

29
docs/docs/ml.xml
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@ -132,6 +132,7 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
<item>linear_manifold_regularizer</item>
<item>discriminant_pca</item>
<item>vector_normalizer_frobmetric</item>
<item>compute_lda_transform</item>
</section>
<section>
<name>Feature Selection</name>
@ -166,6 +167,7 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
<item>test_ranking_function</item>
<item>test_shape_predictor</item>
<item>average_precision</item>
<item>equal_error_rate</item>
</section>
<section>
@ -620,6 +622,20 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
</description>
</component>
<!-- ************************************************************************* -->
<component>
<name>compute_lda_transform</name>
<file>dlib/statistics.h</file>
<spec_file link="true">dlib/statistics/lda_abstract.h</spec_file>
<description>
This function performs the dimensionality reducing version of linear
discriminant analysis. That is, you give it a set of labeled vectors and it
returns a linear transform that maps the input vectors into a new space that
is good for distinguishing between the different classes.
</description>
</component>
<!-- ************************************************************************* -->
<component>
@ -2693,6 +2709,19 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
</description>
</component>
<!-- ************************************************************************* -->
<component>
<name>equal_error_rate</name>
<file>dlib/statistics.h</file>
<spec_file link="true">dlib/statistics/lda_abstract.h</spec_file>
<description>
This function finds a threshold that best separates the elements of two
vectors by selecting the threshold with equal error rate. It also reports
the value of the equal error rate.
</description>
</component>
<!-- ************************************************************************* -->
<component>

8
docs/docs/term_index.xml
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@ -351,6 +351,7 @@
<term file="ml.html" name="is_ranking_problem" include="dlib/svm.h"/>
<term file="ml.html" name="count_ranking_inversions" include="dlib/svm.h"/>
<term file="ml.html" name="average_precision" include="dlib/statistics.h"/>
<term file="ml.html" name="equal_error_rate" include="dlib/statistics.h"/>
<term file="ml.html" name="test_ranking_function" include="dlib/svm.h"/>
<term file="ml.html" name="cross_validate_ranking_trainer" include="dlib/svm.h"/>
<term file="ml.html" name="svm_c_ekm_trainer" include="dlib/svm.h"/>
@ -398,6 +399,7 @@
<term file="ml.html" name="rank_unlabeled_training_samples" include="dlib/svm.h"/>
<term file="ml.html" name="vector_normalizer" include="dlib/statistics.h"/>
<term file="ml.html" name="vector_normalizer_frobmetric" include="dlib/statistics.h"/>
<term file="ml.html" name="compute_lda_transform" include="dlib/statistics.h"/>
<term file="ml.html" name="frobmetric_training_sample" include="dlib/statistics.h"/>
<term file="ml.html" name="vector_normalizer_pca" include="dlib/statistics.h"/>
<term file="ml.html" name="discriminant_pca" include="dlib/statistics.h"/>
@ -1256,6 +1258,7 @@
<term file="dlib/image_transforms/interpolation_abstract.h.html" name="chip_details" include="dlib/image_transforms.h"/>
<term file="dlib/image_transforms/interpolation_abstract.h.html" name="get_face_chip_details" include="dlib/image_transforms.h"/>
<term file="dlib/image_transforms/interpolation_abstract.h.html" name="get_mapping_to_chip" include="dlib/image_transforms.h"/>
<term file="dlib/image_transforms/interpolation_abstract.h.html" name="map_det_to_chip" include="dlib/image_transforms.h"/>
<term file="dlib/image_transforms/interpolation_abstract.h.html" name="chip_dims" include="dlib/image_transforms.h"/>
<term file="imaging.html" name="pyramid_up" include="dlib/image_transforms.h"/>
<term file="imaging.html" name="add_image_left_right_flips" include="dlib/image_transforms.h"/>
@ -1269,6 +1272,11 @@
<term file="dlib/image_transforms/interpolation_abstract.h.html" name="black_background" include="dlib/image_transforms.h"/>
<term file="dlib/image_transforms/interpolation_abstract.h.html" name="white_background" include="dlib/image_transforms.h"/>
<term file="dlib/image_transforms/interpolation_abstract.h.html" name="no_background" include="dlib/image_transforms.h"/>
<term file="imaging.html" name="make_uniform_lbp_image" include="dlib/image_transforms.h"/>
<term file="imaging.html" name="extract_histogram_descriptors" include="dlib/image_transforms.h"/>
<term file="imaging.html" name="extract_uniform_lbp_descriptors" include="dlib/image_transforms.h"/>
<term file="imaging.html" name="extract_highdim_face_lbp_descriptors" include="dlib/image_transforms.h"/>
<term file="imaging.html" name="integral_image" include="dlib/image_transforms.h"/>
<term file="imaging.html" name="integral_image_generic" include="dlib/image_transforms.h"/>