Added KAZE and AKAZE wrappers

modules/features2d/src/akaze.cpp

@@ -0,0 +1,149 @@
+#include "precomp.hpp"
+#include "akaze/AKAZE.h"
+
+namespace cv
+{
+
+    AKAZE::AKAZE(int _descriptor, int _descriptor_size, int _descriptor_channels)
+        : descriptor_channels(_descriptor_channels)
+        , descriptor(_descriptor)
+        , descriptor_size(_descriptor_size)
+    {
+
+    }
+
+    AKAZE::~AKAZE()
+    {
+
+    }
+
+    // returns the descriptor size in bytes
+    int AKAZE::descriptorSize() const
+    {
+        if (descriptor < MLDB_UPRIGHT)
+        {
+            return 64;
+        }
+        else
+        {
+            // We use the full length binary descriptor -> 486 bits
+            if (descriptor_size == 0)
+            {
+                int t = (6 + 36 + 120) * descriptor_channels;
+                return ceil(t / 8.);
+            }
+            else
+            {
+                // We use the random bit selection length binary descriptor
+                return ceil(descriptor_size / 8.);
+            }
+        }
+    }
+
+    // returns the descriptor type
+    int AKAZE::descriptorType() const
+    {
+        if (descriptor < MLDB_UPRIGHT)
+        {
+            return CV_32FC1;
+        }
+        else
+        {
+            return CV_8UC1;
+        }
+    }
+
+    // returns the default norm type
+    int AKAZE::defaultNorm() const
+    {
+        if (descriptor < MLDB_UPRIGHT)
+        {
+            return NORM_L2;
+        }
+        else
+        {
+            return NORM_HAMMING;
+        }
+    }
+
+
+    void AKAZE::operator()(InputArray image, InputArray mask,
+        std::vector<KeyPoint>& keypoints,
+        OutputArray descriptors,
+        bool useProvidedKeypoints) const
+    {
+        cv::Mat img = image.getMat();
+        if (img.type() != CV_8UC1)
+            cvtColor(image, img, COLOR_BGR2GRAY);
+
+        Mat img1_32;
+        img.convertTo(img1_32, CV_32F, 1.0 / 255.0, 0);
+
+        cv::Mat& desc = descriptors.getMatRef();
+
+        AKAZEOptions options;
+        options.img_width = img.cols;
+        options.img_height = img.rows;
+
+        AKAZEFeatures impl(options);
+        impl.Create_Nonlinear_Scale_Space(img1_32);
+
+        if (!useProvidedKeypoints)
+        {
+            impl.Feature_Detection(keypoints);
+        }
+
+        if (!mask.empty())
+        {
+            cv::KeyPointsFilter::runByPixelsMask(keypoints, mask.getMat());
+        }
+
+        impl.Compute_Descriptors(keypoints, desc);
+    }
+
+    void AKAZE::detectImpl(InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask) const
+    {
+        cv::Mat img = image.getMat();
+        if (img.type() != CV_8UC1)
+            cvtColor(image, img, COLOR_BGR2GRAY);
+
+        Mat img1_32;
+        img.convertTo(img1_32, CV_32F, 1.0 / 255.0, 0);
+
+        AKAZEOptions options;
+        options.img_width = img.cols;
+        options.img_height = img.rows;
+
+        AKAZEFeatures impl(options);
+        impl.Create_Nonlinear_Scale_Space(img1_32);
+        impl.Feature_Detection(keypoints);
+
+        if (!mask.empty())
+        {
+            cv::KeyPointsFilter::runByPixelsMask(keypoints, mask.getMat());
+        }
+    }
+
+    void AKAZE::computeImpl(InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors) const
+    {
+        cv::Mat img = image.getMat();
+        if (img.type() != CV_8UC1)
+            cvtColor(image, img, COLOR_BGR2GRAY);
+
+        Mat img1_32;
+        img.convertTo(img1_32, CV_32F, 1.0 / 255.0, 0);
+
+        cv::Mat& desc = descriptors.getMatRef();
+
+        AKAZEOptions options;
+        options.img_width = img.cols;
+        options.img_height = img.rows;
+
+        AKAZEFeatures impl(options);
+        impl.Create_Nonlinear_Scale_Space(img1_32);
+        impl.Compute_Descriptors(keypoints, desc);
+
+        CV_Assert(!desc.rows || desc.cols == descriptorSize() && "Descriptor size does not match expected");
+        CV_Assert(!desc.rows || (desc.type() & descriptorType()) && "Descriptor type does not match expected");
+    }
+}