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updated docs
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@ -99,23 +99,29 @@
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</section>
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<section>
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<name>Keypoints and Descriptors</name>
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<item>integral_image</item>
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<item>integral_image_generic</item>
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<name>Feature Extraction</name>
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<item>get_surf_points</item>
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<item nolink="true">
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<name>SURF Tools</name>
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<sub>
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<item>hessian_pyramid</item>
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<item>compute_dominant_angle</item>
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<item>compute_surf_descriptor</item>
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<item>hog_image</item>
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<item>hashed_feature_image</item>
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<item>haar_x</item>
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<item>haar_y</item>
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<item>get_interest_points</item>
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<item>get_surf_points</item>
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<item>interest_point</item>
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<item>surf_point</item>
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<item>compute_dominant_angle</item>
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</sub>
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</item>
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<item>hog_image</item>
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<item>poly_image</item>
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<item>hashed_feature_image</item>
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<item>nearest_neighbor_feature_image</item>
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</section>
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<section>
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<name>Edges and Thresholds</name>
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<item>edge_orientation</item>
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@ -170,6 +176,8 @@
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<item>pyramid_down_4_3</item>
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<item>pyramid_down_5_4</item>
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<item>zero_border_pixels</item>
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<item>integral_image</item>
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<item>integral_image_generic</item>
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</section>
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@ -316,6 +324,22 @@
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</component>
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<!-- ************************************************************************* -->
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<component>
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<name>poly_image</name>
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<file>dlib/image_keypoint.h</file>
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<spec_file link="true">dlib/image_keypoint/hog_abstract.h</spec_file>
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<description>
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This object is a tool for extracting local feature descriptors from an image.
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In particular, it fits a polynomial to every local pixel patch in an image and
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allows you to query the coefficients of this polynomial. The coefficients
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are intensity normalized by dividing them by the constant term of the fitted
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polynomial and then the constant term is discarded.
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</description>
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</component>
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<!-- ************************************************************************* -->
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<component>
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@ -329,6 +353,13 @@
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this by hashing each feature vector and then returns a new vector
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which is zero everywhere except for the position determined by the
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hash.
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<br/><br/>
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The following feature extractors can be wrapped by the hashed_feature_image:
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<ul style="margin-top:0em">
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<li><a href="#hog_image">hog_image</a></li>
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<li><a href="#poly_image">poly_image</a></li>
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</ul>
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</description>
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<examples>
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<example>object_detector_ex.cpp.html</example>
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@ -336,6 +367,30 @@
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</component>
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<!-- ************************************************************************* -->
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<component>
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<name>nearest_neighbor_feature_image</name>
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<file>dlib/image_keypoint.h</file>
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<spec_file link="true">dlib/image_keypoint/nearest_neighbor_feature_image_abstract.h</spec_file>
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<description>
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This object is a tool for performing image feature extraction. In
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particular, it wraps another image feature extractor and converts
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the wrapped image feature vectors into sparse indicator vectors. It does
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this by finding the nearest neighbor for each feature vector and returning an
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indicator vector that is zero everywhere except for the position indicated by
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the nearest neighbor.
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<br/><br/>
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The following feature extractors can be wrapped by the nearest_neighbor_feature_image:
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<ul style="margin-top:0em">
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<li><a href="#hog_image">hog_image</a></li>
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<li><a href="#poly_image">poly_image</a></li>
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</ul>
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</description>
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</component>
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<!-- ************************************************************************* -->
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<component>
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@ -1250,6 +1305,13 @@
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Natural Scene Categories by Svetlana Lazebnik, Cordelia Schmid,
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and Jean Ponce
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</blockquote>
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<br/><br/>
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The following feature extractors can be used with the scan_image_pyramid object:
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<ul style="margin-top:0em">
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<li><a href="#hashed_feature_image">hashed_feature_image</a></li>
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<li><a href="#nearest_neighbor_feature_image">nearest_neighbor_feature_image</a></li>
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</ul>
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</description>
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<examples>
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<example>object_detector_ex.cpp.html</example>
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@ -834,9 +834,16 @@ function BigToggle(node)
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</li>
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</xsl:template>
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<xsl:template match="ul">
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<xsl:if test="@style">
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<ul style="{@style}">
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<xsl:apply-templates/>
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</ul>
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</xsl:if>
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<xsl:if test="not(@style)">
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<ul>
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<xsl:apply-templates/>
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</ul>
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</xsl:if>
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</xsl:template>
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<xsl:template match="u">
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<u>
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<term file="imaging.html" name="compute_dominant_angle"/>
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<term file="imaging.html" name="compute_surf_descriptor"/>
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<term file="imaging.html" name="hog_image"/>
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<term file="imaging.html" name="poly_image"/>
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<term file="imaging.html" name="hashed_feature_image"/>
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<term file="imaging.html" name="nearest_neighbor_feature_image"/>
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<term file="imaging.html" name="haar_x"/>
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<term file="imaging.html" name="haar_y"/>
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<term file="imaging.html" name="get_interest_points"/>
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