First CommitHEADmaster

1 files changed, 156 insertions, 0 deletions

diff --git a/thirdparty1/linux/include/opencv2/xfeatures2d/nonfree.hpp b/thirdparty1/linux/include/opencv2/xfeatures2d/nonfree.hpp
new file mode 100644
index 0000000..9533972
--- /dev/null
+++ b/thirdparty1/linux/include/opencv2/xfeatures2d/nonfree.hpp
@@ -0,0 +1,156 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's in binary form must reproduce the above copyright notice,
+//     this list of conditions and the following disclaimer in the documentation
+//     and/or other materials provided with the distribution.
+//
+//   * The name of the copyright holders may not be used to endorse or promote products
+//     derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#ifndef __OPENCV_XFEATURES2D_FEATURES_2D_HPP__
+#define __OPENCV_XFEATURES2D_FEATURES_2D_HPP__
+
+#include "opencv2/features2d.hpp"
+
+namespace cv
+{
+namespace xfeatures2d
+{
+
+//! @addtogroup xfeatures2d_nonfree
+//! @{
+
+/** @brief Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform
+(SIFT) algorithm by D. Lowe @cite Lowe04 .
+ */
+class CV_EXPORTS_W SIFT : public Feature2D
+{
+public:
+    /**
+    @param nfeatures The number of best features to retain. The features are ranked by their scores
+    (measured in SIFT algorithm as the local contrast)
+
+    @param nOctaveLayers The number of layers in each octave. 3 is the value used in D. Lowe paper. The
+    number of octaves is computed automatically from the image resolution.
+
+    @param contrastThreshold The contrast threshold used to filter out weak features in semi-uniform
+    (low-contrast) regions. The larger the threshold, the less features are produced by the detector.
+
+    @param edgeThreshold The threshold used to filter out edge-like features. Note that the its meaning
+    is different from the contrastThreshold, i.e. the larger the edgeThreshold, the less features are
+    filtered out (more features are retained).
+
+    @param sigma The sigma of the Gaussian applied to the input image at the octave \#0. If your image
+    is captured with a weak camera with soft lenses, you might want to reduce the number.
+     */
+    CV_WRAP static Ptr<SIFT> create( int nfeatures = 0, int nOctaveLayers = 3,
+                                    double contrastThreshold = 0.04, double edgeThreshold = 10,
+                                    double sigma = 1.6);
+};
+
+typedef SIFT SiftFeatureDetector;
+typedef SIFT SiftDescriptorExtractor;
+
+/** @brief Class for extracting Speeded Up Robust Features from an image @cite Bay06 .
+
+The algorithm parameters:
+-   member int extended
+    -   0 means that the basic descriptors (64 elements each) shall be computed
+    -   1 means that the extended descriptors (128 elements each) shall be computed
+-   member int upright
+    -   0 means that detector computes orientation of each feature.
+    -   1 means that the orientation is not computed (which is much, much faster). For example,
+if you match images from a stereo pair, or do image stitching, the matched features
+likely have very similar angles, and you can speed up feature extraction by setting
+upright=1.
+-   member double hessianThreshold
+Threshold for the keypoint detector. Only features, whose hessian is larger than
+hessianThreshold are retained by the detector. Therefore, the larger the value, the less
+keypoints you will get. A good default value could be from 300 to 500, depending from the
+image contrast.
+-   member int nOctaves
+The number of a gaussian pyramid octaves that the detector uses. It is set to 4 by default.
+If you want to get very large features, use the larger value. If you want just small
+features, decrease it.
+-   member int nOctaveLayers
+The number of images within each octave of a gaussian pyramid. It is set to 2 by default.
+@note
+   -   An example using the SURF feature detector can be found at
+        opencv_source_code/samples/cpp/generic_descriptor_match.cpp
+    -   Another example using the SURF feature detector, extractor and matcher can be found at
+        opencv_source_code/samples/cpp/matcher_simple.cpp
+ */
+class CV_EXPORTS_W SURF : public Feature2D
+{
+public:
+    /**
+    @param hessianThreshold Threshold for hessian keypoint detector used in SURF.
+    @param nOctaves Number of pyramid octaves the keypoint detector will use.
+    @param nOctaveLayers Number of octave layers within each octave.
+    @param extended Extended descriptor flag (true - use extended 128-element descriptors; false - use
+    64-element descriptors).
+    @param upright Up-right or rotated features flag (true - do not compute orientation of features;
+    false - compute orientation).
+     */
+    CV_WRAP static Ptr<SURF> create(double hessianThreshold=100,
+                  int nOctaves = 4, int nOctaveLayers = 3,
+                  bool extended = false, bool upright = false);
+
+    CV_WRAP virtual void setHessianThreshold(double hessianThreshold) = 0;
+    CV_WRAP virtual double getHessianThreshold() const = 0;
+
+    CV_WRAP virtual void setNOctaves(int nOctaves) = 0;
+    CV_WRAP virtual int getNOctaves() const = 0;
+
+    CV_WRAP virtual void setNOctaveLayers(int nOctaveLayers) = 0;
+    CV_WRAP virtual int getNOctaveLayers() const = 0;
+
+    CV_WRAP virtual void setExtended(bool extended) = 0;
+    CV_WRAP virtual bool getExtended() const = 0;
+
+    CV_WRAP virtual void setUpright(bool upright) = 0;
+    CV_WRAP virtual bool getUpright() const = 0;
+};
+
+typedef SURF SurfFeatureDetector;
+typedef SURF SurfDescriptorExtractor;
+
+//! @}
+
+}
+} /* namespace cv */
+
+#endif