'xmlymlpers':('http://opencv.itseez.com/modules/core/doc/xml_yaml_persistence.html#%s', None),
'huivideo' : ('http://opencv.itseez.com/modules/highgui/doc/reading_and_writing_images_and_video.html#%s', None),
'filtering':('http://opencv.itseez.com/modules/imgproc/doc/filtering.html#%s', None),
- 'point_polygon_test' : ('http://opencv.willowgarage.com/documentation/cpp/imgproc_structural_analysis_and_shape_descriptors.html#cv-pointpolygontest%s', None)
+ 'point_polygon_test' : ('http://opencv.willowgarage.com/documentation/cpp/imgproc_structural_analysis_and_shape_descriptors.html#cv-pointpolygontest%s', None),
+ 'feature_detector' : ( 'http://opencv.willowgarage.com/documentation/cpp/features2d_common_interfaces_of_feature_detectors.html#featuredetector%s', None),
+ 'feature_detector_detect' : ('http://opencv.willowgarage.com/documentation/cpp/features2d_common_interfaces_of_feature_detectors.html#cv-featuredetector-detect%s', None ),
+ 'surf_feature_detector' : ('http://opencv.willowgarage.com/documentation/cpp/features2d_common_interfaces_of_feature_detectors.html#surffeaturedetector%s', None ),
+ 'draw_keypoints' : ('http://opencv.willowgarage.com/documentation/cpp/features2d_drawing_function_of_keypoints_and_matches.html#cv-drawkeypoints%s', None ),
+ 'descriptor_extractor': ( 'http://opencv.willowgarage.com/documentation/cpp/features2d_common_interfaces_of_descriptor_extractors.html#descriptorextractor%s', None ),
+ 'descriptor_extractor_compute' : ( 'http://opencv.willowgarage.com/documentation/cpp/features2d_common_interfaces_of_descriptor_extractors.html#cv-descriptorextractor-compute%s', None ),
+ 'surf_descriptor_extractor' : ( 'http://opencv.willowgarage.com/documentation/cpp/features2d_common_interfaces_of_descriptor_extractors.html#surfdescriptorextractor%s', None ),
+ 'draw_matches' : ( 'http://opencv.willowgarage.com/documentation/cpp/features2d_drawing_function_of_keypoints_and_matches.html#cv-drawmatches%s', None )
}
--- /dev/null
+.. _feature_description:
+
+Feature Description
+*******************
+
+Goal
+=====
+
+In this tutorial you will learn how to:
+
+.. container:: enumeratevisibleitemswithsquare
+
+ * Use the :descriptor_extractor:`DescriptorExtractor<>` interface in order to find the feature vector correspondent to the keypoints. Specifically:
+
+ * Use :surf_descriptor_extractor:`SurfDescriptorExtractor<>` and its function :descriptor_extractor:`compute<>` to perform the required calculations.
+ * Use the function :draw_matches:`drawMatches<>` to draw the detected matches.
+
+
+Theory
+======
+
+Code
+====
+
+This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/features2D/SURF_descriptor.cpp>`_
+
+.. code-block:: cpp
+
+ #include <stdio.h>
+ #include <iostream>
+ #include "opencv2/core/core.hpp"
+ #include "opencv2/features2d/features2d.hpp"
+ #include "opencv2/highgui/highgui.hpp"
+
+ using namespace cv;
+
+ void readme();
+
+ /** @function main */
+ int main( int argc, char** argv )
+ {
+ if( argc != 3 )
+ { return -1; }
+
+ Mat img_1 = imread( argv[1], CV_LOAD_IMAGE_GRAYSCALE );
+ Mat img_2 = imread( argv[2], CV_LOAD_IMAGE_GRAYSCALE );
+
+ if( !img_1.data || !img_2.data )
+ { return -1; }
+
+ //-- Step 1: Detect the keypoints using SURF Detector
+ int minHessian = 400;
+
+ SurfFeatureDetector detector( minHessian );
+
+ std::vector<KeyPoint> keypoints_1, keypoints_2;
+
+ detector.detect( img_1, keypoints_1 );
+ detector.detect( img_2, keypoints_2 );
+
+ //-- Step 2: Calculate descriptors (feature vectors)
+ SurfDescriptorExtractor extractor;
+
+ Mat descriptors_1, descriptors_2;
+
+ extractor.compute( img_1, keypoints_1, descriptors_1 );
+ extractor.compute( img_2, keypoints_2, descriptors_2 );
+
+ //-- Step 3: Matching descriptor vectors with a brute force matcher
+ BruteForceMatcher< L2<float> > matcher;
+ std::vector< DMatch > matches;
+ matcher.match( descriptors_1, descriptors_2, matches );
+
+ //-- Draw matches
+ Mat img_matches;
+ drawMatches( img_1, keypoints_1, img_2, keypoints_2, matches, img_matches );
+
+ //-- Show detected matches
+ imshow("Matches", img_matches );
+
+ waitKey(0);
+
+ return 0;
+ }
+
+ /** @function readme */
+ void readme()
+ { std::cout << " Usage: ./SURF_descriptor <img1> <img2>" << std::endl; }
+
+Explanation
+============
+
+Result
+======
+
+#. Here is the result after applying the BruteForce matcher between the two original images:
+
+ .. image:: images/Feature_Description_BruteForce_Result.jpg
+ :align: center
+ :height: 200pt
+
+
+
--- /dev/null
+.. _feature_detection:
+
+Feature Detection
+******************
+
+Goal
+=====
+
+In this tutorial you will learn how to:
+
+.. container:: enumeratevisibleitemswithsquare
+
+ * Use the :feature_detector:`FeatureDetector<>` interface in order to find interest points. Specifically:
+
+ * Use the :surf_feature_detector:`SurfFeatureDetector<>` and its function :feature_detector_detect:`detect<>` to perform the detection process
+ * Use the function :draw_keypoints:`drawKeypoints<>` to draw the detected keypoints
+
+
+Theory
+======
+
+Code
+====
+
+This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/features2D/SURF_detector.cpp>`_
+
+.. code-block:: cpp
+
+ #include <stdio.h>
+ #include <iostream>
+ #include "opencv2/core/core.hpp"
+ #include "opencv2/features2d/features2d.hpp"
+ #include "opencv2/highgui/highgui.hpp"
+
+ using namespace cv;
+
+ void readme();
+
+ /** @function main */
+ int main( int argc, char** argv )
+ {
+ if( argc != 3 )
+ { readme(); return -1; }
+
+ Mat img_1 = imread( argv[1], CV_LOAD_IMAGE_GRAYSCALE );
+ Mat img_2 = imread( argv[2], CV_LOAD_IMAGE_GRAYSCALE );
+
+ if( !img_1.data || !img_2.data )
+ { std::cout<< " --(!) Error reading images " << std::endl; return -1; }
+
+ //-- Step 1: Detect the keypoints using SURF Detector
+ int minHessian = 400;
+
+ SurfFeatureDetector detector( minHessian );
+
+ std::vector<KeyPoint> keypoints_1, keypoints_2;
+
+ detector.detect( img_1, keypoints_1 );
+ detector.detect( img_2, keypoints_2 );
+
+ //-- Draw keypoints
+ Mat img_keypoints_1; Mat img_keypoints_2;
+
+ drawKeypoints( img_1, keypoints_1, img_keypoints_1, Scalar::all(-1), DrawMatchesFlags::DEFAULT );
+ drawKeypoints( img_2, keypoints_2, img_keypoints_2, Scalar::all(-1), DrawMatchesFlags::DEFAULT );
+
+ //-- Show detected (drawn) keypoints
+ imshow("Keypoints 1", img_keypoints_1 );
+ imshow("Keypoints 2", img_keypoints_2 );
+
+ waitKey(0);
+
+ return 0;
+ }
+
+ /** @function readme */
+ void readme()
+ { std::cout << " Usage: ./SURF_detector <img1> <img2>" << std::endl; }
+
+Explanation
+============
+
+Result
+======
+
+#. Here is the result of the feature detection applied to the first image:
+
+ .. image:: images/Feature_Detection_Result_a.jpg
+ :align: center
+ :height: 125pt
+
+#. And here is the result for the second image:
+
+ .. image:: images/Feature_Detection_Result_b.jpg
+ :align: center
+ :height: 200pt
+
*feature2d* module. 2D Features framework
-----------------------------------------------------------
-Learn about how to use the feature points detectors, descriptors and matching framework found inside OpenCV.
+Learn about how to use the feature points detectors, descriptors and matching framework found inside OpenCV.ddddddd
.. include:: ../../definitions/tocDefinitions.rst
.. cssclass:: toctableopencv
===================== ==============================================
- |Subpixel| **Title:** :ref:`corner_subpixeles`
+ |Subpixel| **Title:** :ref:`corner_subpixeles`
*Compatibility:* > OpenCV 2.0
.. cssclass:: toctableopencv
===================== ==============================================
+ |FeatureDetect| **Title:** :ref:`feature_detection`
+
+ *Compatibility:* > OpenCV 2.0
+
+ *Author:* |Author_AnaH|
+
+ In this tutorial, you will use *features2d* to detect interest points.
+
+ ===================== ==============================================
+
+ .. |FeatureDetect| image:: images/Feature_Detection_Tutorial_Cover.jpg
+ :height: 90pt
+ :width: 90pt
+
+
++
+ .. tabularcolumns:: m{100pt} m{300pt}
+ .. cssclass:: toctableopencv
+
+ ===================== ==============================================
+ |FeatureDescript| **Title:** :ref:`feature_description`
+
+ *Compatibility:* > OpenCV 2.0
+
+ *Author:* |Author_AnaH|
+
+ In this tutorial, you will use *features2d* to calculate feature vectors.
+
+ ===================== ==============================================
+
+ .. |FeatureDescript| image:: images/Feature_Description_Tutorial_Cover.jpg
+ :height: 90pt
+ :width: 90pt
+
++
+ .. tabularcolumns:: m{100pt} m{300pt}
+ .. cssclass:: toctableopencv
+
+ ===================== ==============================================
+ |FeatureFlann| **Title:** :ref:`feature_flann_matcher`
+
+ *Compatibility:* > OpenCV 2.0
+
+ *Author:* |Author_AnaH|
+
+ In this tutorial, you will use *features2d* to detect interest points.
+
+ ===================== ==============================================
+
+ .. |FeatureFlann| image:: images/Feature_Detection_Tutorial_Cover.jpg
+ :height: 90pt
+ :width: 90pt
+
++
+ .. tabularcolumns:: m{100pt} m{300pt}
+ .. cssclass:: toctableopencv
+
+ ===================== ==============================================
+ |FeatureHomo| **Title:** :ref:`feature_homography`
+
+ *Compatibility:* > OpenCV 2.0
+
+ *Author:* |Author_AnaH|
+
+ In this tutorial, you will use *features2d* to detect interest points.
+
+ ===================== ==============================================
+
+ .. |FeatureHomo| image:: images/Feature_Detection_Tutorial_Cover.jpg
+ :height: 90pt
+ :width: 90pt
+
+
++
+ .. tabularcolumns:: m{100pt} m{300pt}
+ .. cssclass:: toctableopencv
+
+ ===================== ==============================================
|DetectPlanar| **Title:** :ref:`detectionOfPlanarObjects`
*Compatibility:* > OpenCV 2.0
../trackingmotion/good_features_to_track/good_features_to_track.rst
../trackingmotion/generic_corner_detector/generic_corner_detector
../trackingmotion/corner_subpixeles/corner_subpixeles
- ../detection_of_planar_objects/detection_of_planar_objects
\ No newline at end of file
+ ../detection_of_planar_objects/detection_of_planar_objects
projects / profile / ivi / opencv.git / commitdiff
