/*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) 2009-2010, 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. // // If you find this code useful, please add a reference to the following paper in your work: // Gil Levi and Tal Hassner, "LATCH: Learned Arrangements of Three Patch Codes", arXiv preprint arXiv:1501.03719, 15 Jan. 2015 //M*/ #include "precomp.hpp" #include <algorithm> #include <vector> #include <iostream> #include <iomanip> namespace cv { namespace xfeatures2d { /* * LATCH Descriptor */ class LATCHDescriptorExtractorImpl : public LATCH { public: enum { PATCH_SIZE = 48 }; LATCHDescriptorExtractorImpl(int bytes = 32, bool rotationInvariance = true, int half_ssd_size = 3); virtual void read( const FileNode& ); virtual void write( FileStorage& ) const; virtual int descriptorSize() const; virtual int descriptorType() const; virtual int defaultNorm() const; virtual void compute(InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors); protected: typedef void(*PixelTestFn)(const Mat& input_image, const std::vector<KeyPoint>& keypoints, OutputArray, const std::vector<int> &points, bool rotationInvariance, int half_ssd_size); void setSamplingPoints(); int bytes_; PixelTestFn test_fn_; bool rotationInvariance_; int half_ssd_size_; std::vector<int> sampling_points_ ; }; Ptr<LATCH> LATCH::create(int bytes, bool rotationInvariance, int half_ssd_size) { return makePtr<LATCHDescriptorExtractorImpl>(bytes, rotationInvariance, half_ssd_size); } void CalcuateSums(int count, const std::vector<int> &points, bool rotationInvariance, const Mat &grayImage, const KeyPoint &pt, int &suma, int &sumc, float cos_theta, float sin_theta, int half_ssd_size); static void pixelTests1(const Mat& grayImage, const std::vector<KeyPoint>& keypoints, OutputArray _descriptors, const std::vector<int> &points, bool rotationInvariance, int half_ssd_size) { Mat descriptors = _descriptors.getMat(); for (int i = 0; i < (int)keypoints.size(); ++i) { uchar* desc = descriptors.ptr(i); const KeyPoint& pt = keypoints[i]; int count = 0; //handling keypoint orientation float angle = pt.angle; angle *= (float)(CV_PI / 180.f); float cos_theta = cos(angle); float sin_theta = sin(angle); for (int ix = 0; ix < 1; ix++){ desc[ix] = 0; for (int j = 7; j >= 0; j--){ int suma = 0; int sumc = 0; CalcuateSums(count, points, rotationInvariance, grayImage, pt, suma, sumc, cos_theta, sin_theta, half_ssd_size); desc[ix] += (uchar)((suma < sumc) << j); count += 6; } } } } static void pixelTests2(const Mat& grayImage, const std::vector<KeyPoint>& keypoints, OutputArray _descriptors, const std::vector<int> &points, bool rotationInvariance, int half_ssd_size) { Mat descriptors = _descriptors.getMat(); for (int i = 0; i < (int)keypoints.size(); ++i) { uchar* desc = descriptors.ptr(i); const KeyPoint& pt = keypoints[i]; int count = 0; //handling keypoint orientation float angle = pt.angle; angle *= (float)(CV_PI / 180.f); float cos_theta = cos(angle); float sin_theta = sin(angle); for (int ix = 0; ix < 2; ix++){ desc[ix] = 0; for (int j = 7; j >= 0; j--){ int suma = 0; int sumc = 0; CalcuateSums(count, points, rotationInvariance, grayImage, pt, suma, sumc, cos_theta, sin_theta, half_ssd_size); desc[ix] += (uchar)((suma < sumc) << j); count += 6; } } } } static void pixelTests4(const Mat& grayImage, const std::vector<KeyPoint>& keypoints, OutputArray _descriptors, const std::vector<int> &points, bool rotationInvariance, int half_ssd_size) { Mat descriptors = _descriptors.getMat(); for (int i = 0; i < (int)keypoints.size(); ++i) { uchar* desc = descriptors.ptr(i); const KeyPoint& pt = keypoints[i]; int count = 0; //handling keypoint orientation float angle = pt.angle; angle *= (float)(CV_PI / 180.f); float cos_theta = cos(angle); float sin_theta = sin(angle); for (int ix = 0; ix < 4; ix++){ desc[ix] = 0; for (int j = 7; j >= 0; j--){ int suma = 0; int sumc = 0; CalcuateSums(count, points, rotationInvariance, grayImage, pt, suma, sumc, cos_theta, sin_theta, half_ssd_size); desc[ix] += (uchar)((suma < sumc) << j); count += 6; } } } } static void pixelTests8(const Mat& grayImage, const std::vector<KeyPoint>& keypoints, OutputArray _descriptors, const std::vector<int> &points, bool rotationInvariance, int half_ssd_size) { Mat descriptors = _descriptors.getMat(); for (int i = 0; i < (int)keypoints.size(); ++i) { uchar* desc = descriptors.ptr(i); const KeyPoint& pt = keypoints[i]; int count = 0; //handling keypoint orientation float angle = pt.angle; angle *= (float)(CV_PI / 180.f); float cos_theta = cos(angle); float sin_theta = sin(angle); for (int ix = 0; ix < 8; ix++){ desc[ix] = 0; for (int j = 7; j >= 0; j--){ int suma = 0; int sumc = 0; CalcuateSums(count, points, rotationInvariance, grayImage, pt, suma, sumc, cos_theta, sin_theta, half_ssd_size); desc[ix] += (uchar)((suma < sumc) << j); count += 6; } } } } static void pixelTests16(const Mat& grayImage, const std::vector<KeyPoint>& keypoints, OutputArray _descriptors, const std::vector<int> &points, bool rotationInvariance, int half_ssd_size) { Mat descriptors = _descriptors.getMat(); for (int i = 0; i < (int)keypoints.size(); ++i) { uchar* desc = descriptors.ptr(i); const KeyPoint& pt = keypoints[i]; int count = 0; //handling keypoint orientation float angle = pt.angle; angle *= (float)(CV_PI / 180.f); float cos_theta = cos(angle); float sin_theta = sin(angle); for (int ix = 0; ix < 16; ix++){ desc[ix] = 0; for (int j = 7; j >= 0; j--){ int suma = 0; int sumc = 0; CalcuateSums(count, points, rotationInvariance, grayImage, pt, suma, sumc, cos_theta, sin_theta, half_ssd_size); desc[ix] += (uchar)((suma < sumc) << j); count += 6; } } } } static void pixelTests32(const Mat& grayImage, const std::vector<KeyPoint>& keypoints, OutputArray _descriptors, const std::vector<int> &points, bool rotationInvariance, int half_ssd_size) { Mat descriptors = _descriptors.getMat(); for (int i = 0; i < (int)keypoints.size(); ++i) { uchar* desc = descriptors.ptr(i); const KeyPoint& pt = keypoints[i]; int count = 0; float angle = pt.angle; angle *= (float)(CV_PI / 180.f); float cos_theta = cos(angle); float sin_theta = sin(angle); for (int ix = 0; ix < 32; ix++){ desc[ix] = 0; for (int j = 7; j >= 0; j--){ int suma = 0; int sumc = 0; CalcuateSums(count, points, rotationInvariance, grayImage, pt, suma, sumc, cos_theta, sin_theta, half_ssd_size); desc[ix] += (uchar)((suma < sumc) << j); count += 6; } } } } static void pixelTests64(const Mat& grayImage, const std::vector<KeyPoint>& keypoints, OutputArray _descriptors, const std::vector<int> &points, bool rotationInvariance, int half_ssd_size) { Mat descriptors = _descriptors.getMat(); for (int i = 0; i < (int)keypoints.size(); ++i) { uchar* desc = descriptors.ptr(i); const KeyPoint& pt = keypoints[i]; int count = 0; //handling keypoint orientation float angle = pt.angle; angle *= (float)(CV_PI / 180.f); float cos_theta = cos(angle); float sin_theta = sin(angle); for (int ix = 0; ix < 64; ix++){ desc[ix] = 0; for (int j = 7; j >= 0; j--){ int suma = 0; int sumc = 0; CalcuateSums(count, points, rotationInvariance, grayImage, pt, suma, sumc, cos_theta, sin_theta, half_ssd_size); desc[ix] += (uchar)((suma < sumc) << j); count += 6; } } } } void CalcuateSums(int count, const std::vector<int> &points, bool rotationInvariance, const Mat &grayImage, const KeyPoint &pt, int &suma, int &sumc, float cos_theta, float sin_theta, int half_ssd_size) { int ax = points[count]; int ay = points[count + 1]; int bx = points[count + 2]; int by = points[count + 3]; int cx = points[count + 4]; int cy = points[count + 5]; int ax2 = ax; int ay2 = ay; int bx2 = bx; int by2 = by; int cx2 = cx; int cy2 = cy; if (rotationInvariance){ ax2 =(int)(((float)ax)*cos_theta - ((float)ay)*sin_theta); ay2 = (int)(((float)ax)*sin_theta + ((float)ay)*cos_theta); bx2 = (int)(((float)bx)*cos_theta - ((float)by)*sin_theta); by2 = (int)(((float)bx)*sin_theta + ((float)by)*cos_theta); cx2 = (int)(((float)cx)*cos_theta - ((float)cy)*sin_theta); cy2 = (int)(((float)cx)*sin_theta + ((float)cy)*cos_theta); if (ax2 > 24) ax2 = 24; if (ax2<-24) ax2 = -24; if (ay2>24) ay2 = 24; if (ay2<-24) ay2 = -24; if (bx2>24) bx2 = 24; if (bx2<-24) bx2 = -24; if (by2>24) by2 = 24; if (by2<-24) by2 = -24; if (cx2>24) cx2 = 24; if (cx2<-24) cx2 = -24; if (cy2>24) cy2 = 24; if (cy2 < -24) cy2 = -24; } ax2 += (int)(pt.pt.x + 0.5); ay2 += (int)(pt.pt.y + 0.5); bx2 += (int)(pt.pt.x + 0.5); by2 += (int)(pt.pt.y + 0.5); cx2 += (int)(pt.pt.x + 0.5); cy2 += (int)(pt.pt.y + 0.5); int K = half_ssd_size; for (int iy = -K; iy <= K; iy++) { const uchar * Mi_a = grayImage.ptr<uchar>(ay2 + iy); const uchar * Mi_b = grayImage.ptr<uchar>(by2 + iy); const uchar * Mi_c = grayImage.ptr<uchar>(cy2 + iy); for (int ix = -K; ix <= K; ix++) { double difa = Mi_a[ax2 + ix] - Mi_b[bx2 + ix]; suma += (int)((difa)*(difa)); double difc = Mi_c[cx2 + ix] - Mi_b[bx2 + ix]; sumc += (int)((difc)*(difc)); } } } LATCHDescriptorExtractorImpl::LATCHDescriptorExtractorImpl(int bytes, bool rotationInvariance, int half_ssd_size) : bytes_(bytes), test_fn_(NULL), rotationInvariance_(rotationInvariance), half_ssd_size_(half_ssd_size) { switch (bytes) { case 1: test_fn_ = pixelTests1; break; case 2: test_fn_ = pixelTests2; break; case 4: test_fn_ = pixelTests4; break; case 8: test_fn_ = pixelTests8; break; case 16: test_fn_ = pixelTests16; break; case 32: test_fn_ = pixelTests32; break; case 64: test_fn_ = pixelTests64; break; default: CV_Error(Error::StsBadArg, "descriptorSize must be 1,2, 4, 8, 16, 32, or 64"); } setSamplingPoints(); } int LATCHDescriptorExtractorImpl::descriptorSize() const { return bytes_; } int LATCHDescriptorExtractorImpl::descriptorType() const { return CV_8UC1; } int LATCHDescriptorExtractorImpl::defaultNorm() const { return NORM_HAMMING; } void LATCHDescriptorExtractorImpl::read(const FileNode& fn) { int dSize = fn["descriptorSize"]; switch (dSize) { case 1: test_fn_ = pixelTests1; break; case 2: test_fn_ = pixelTests2; break; case 4: test_fn_ = pixelTests4; break; case 8: test_fn_ = pixelTests8; break; case 16: test_fn_ = pixelTests16; break; case 32: test_fn_ = pixelTests32; break; case 64: test_fn_ = pixelTests64; break; default: CV_Error(Error::StsBadArg, "descriptorSize must be 1,2, 4, 8, 16, 32, or 64"); } bytes_ = dSize; } void LATCHDescriptorExtractorImpl::write(FileStorage& fs) const { fs << "descriptorSize" << bytes_; } void LATCHDescriptorExtractorImpl::compute(InputArray _image, std::vector<KeyPoint>& keypoints, OutputArray _descriptors) { Mat image = _image.getMat(); if ( image.empty() ) return; if ( keypoints.empty() ) return; Mat grayImage; GaussianBlur(image, grayImage, cv::Size(3, 3), 2, 2); if (image.type() != CV_8U) cvtColor(image, grayImage, COLOR_BGR2GRAY); //Remove keypoints very close to the border KeyPointsFilter::runByImageBorder(keypoints, image.size(), PATCH_SIZE / 2 + half_ssd_size_); bool _1d = false; Mat descriptors; _1d = _descriptors.kind() == _InputArray::STD_VECTOR && _descriptors.type() == CV_8U; if( _1d ) { _descriptors.create((int)keypoints.size()*bytes_, 1, CV_8U); descriptors = _descriptors.getMat().reshape(1, (int)keypoints.size()); } else { _descriptors.create((int)keypoints.size(), bytes_, CV_8U); descriptors = _descriptors.getMat(); } //_descriptors.create((int)keypoints.size(), bytes_, CV_8U); // prepare descriptors as mat //Mat descriptors = _descriptors.getMat(); test_fn_(grayImage, keypoints, descriptors, sampling_points_, rotationInvariance_, half_ssd_size_); } void LATCHDescriptorExtractorImpl::setSamplingPoints(){ int sampling_points_arr[]= { 13, -6, 19, 19, 23, -4, 4, 16, 24, -11, 4, -21, 22, -14, -2, -20, 23, 5, 17, -10, 2, 10, 14, -18, -22, 2, -12, 12, -22, 21, 11, 6, 7, 15, 3, -11, -7, 16, -10, -14, -3, 9, -5, 1, -16, 16, -9, -21, -19, 2, -2, -9, -22, 24, 19, 12, -1, -19, 15, -9, 7, -2, 22, -23, 13, 20, -3, 9, -17, -1, -5, -19, -3, -14, 5, -21, 10, 19, 12, -9, 24, 20, 20, -20, -5, 18, 19, 11, -6, -16, 22, 7, 1, -8, -10, 6, 19, -4, 3, 8, -2, 19, -17, 10, -11, -12, -21, -17, 24, -13, 18, -14, 14, -19, -24, -15, 15, -14, -23, -11, -6, 22, -1, -11, 6, -14, 16, 18, 10, -23, 20, 4, 23, 8, 4, 7, 17, -19, -2, -21, -11, -18, -3, 7, -23, 10, -11, 5, -16, 19, -24, 4, 15, -16, -19, -5, -19, -4, -1, 5, -20, 2, 20, 12, 11, -24, 9, 22, 9, 13, -6, -23, 10, 15, -22, -8, -4, -5, -15, 20, -6, -13, 1, 16, -6, 23, -18, -3, -8, -15, -18, 5, 14, -12, 9, 13, 19, 12, -22, 16, -1, 19, 16, -12, 1, 8, -1, -4, -3, 7, 3, 15, 23, -23, 5, -9, 2, -7, 14, -13, 6, 20, -18, 11, 16, -10, -12, 4, -15, 2, -9, 21, -21, 20, -3, 5, -22, 23, -7, -22, -17, 13, 24, -14, -24, -24, 24, 15, 3, -22, -16, 7, -14, -20, 1, -7, -12, -2, 19, 17, 0, 18, -12, -7, -12, 10, 8, 5, -21, -18, -15, 9, 13, 3, -18, -17, 0, 5, 11, -22, 8, 18, 21, 2, -22, -17, 15, 3, -22, -15, 18, 23, -23, 21, -24, 16, 10, -3, -8, -1, -19, 19, 22, 23, -14, -2, 20, 15, -2, -19, 19, -15, -10, 12, 0, -9, -9, -16, 13, -22, 16, 16, 0, -14, -8, -13, -1, 20, -5, -22, -7, -23, -4, 10, -1, 20, 16, -1, -13, -16, 24, -18, -18, 12, 8, 19, -24, -14, -15, 24, 6, 2, -21, -22, 20, -2, 8, 0, 17, -10, -19, 21, -7, 20, -14, 3, 19, 17, 0, -16, -18, -19, -17, -19, 12, -23, -12, -8, 9, 10, 9, -23, 21, -24, 9, 19, -15, -18, 7, -19, 5, 3, -3, -16, 4, -2, 15, -10, -24, 16, 24, 11, 17, 16, -9, 1, 18, -15, 11, -5, 0, 24, -20, -12, -14, -19, 24, -16, -9, -6, 22, -14, 2, -22, 16, 11, 23, -1, 4, -10, 20, 22, -10, -9, 17, 13, -13, -13, -15, 13, 11, 9, -13, 9, 22, 15, 2, 18, -12, -10, 3, 23, 18, 15, 20, -24, 7, -6, 16, 11, 8, 1, 13, 16, 24, -20, 9, -4, -8, -3, 17, 24, -19, 17, 11, 6, -5, 22, 14, -10, -5, -11, -15, -10, -22, 9, 7, 18, -12, 8, 13, -24, 9, 0, 2, 3, 7, 12, 21, 14, 0, -8, -17, 2, 22, 20, -5, 16, 19, -23, 22, -18, -19, -3, 24, -15, 18, 0, -11, 16, 17, 11, 22, 15, -11, 7, 20, -9, -16, 10, 2, 1, -19, 20, -19, -4, 2, -3, -24, 17, -3, 21, 22, -12, -1, 3, -3, -20, -7, 23, -1, -9, -11, 3, -20, -5, -9, -8, 19, -17, 21, 21, 21, -13, -10, 6, 2, -2, -17, -21, 19, 24, 20, 6, 24, -11, 10, -23, -1, -9, 8, -5, 22, -20, -3, 24, 19, 5, -24, 6, 0, -13, -23, -15, 10, 20, -22, -4, 9, -20, -24, 10, 5, -15, -24, -20, 22, 6, 8, -7, 11, 22, -18, 7, -9, 19, -12, -5, -9, 21, -20, -17, -17, 22, -23, 6, -22, -12, -17, 7, -18, 3, 1, 24, -24, 20, -10, -9, 2, 15, 18, 18, 16, -13, -18, 11, 9, -6, 24, 24, -24, 22, 12, -12, 20, 7, -21, 15, 22, -5, -9, -7, 23, -13, -17, -20, -9, -6, 23, 0, -22, 13, -15, -18, 1, -22, -17, 10, 0, 4, 4, -8, 18, -8, -7, -6, -20, 18, -20, -3, -20, -14, 4, -9, -17, -8, -18, -7, 3, 8, -16, 5, 7, -12, 10, 19, 20, 21, -22, 24, 4, 8, -22, 2, -19, -18, -18, 22, -2, 13, 10, 9, -15, 15, 21, 16, 16, 11, -24, -2, 24, 21, -7, -12, 1, 14, 9, 17, 20, 17, 7, 7, 5, -24, -13, -8, 21, 18, -15, 11, -22, 8, 12, -8, -18, 23, 14, 10, 6, -24, 17, -10, 8, 13, 21, 17, 24, -3, -21, -24, 18, 11, -8, 5, -10, -23, -2, 23, -13, 5, 11, 7, -1, -21, -10, -4, 21, -22, -15, 6, 6, -4, 16, -7, -7, -23, 19, 6, -1, 21, 23, -14, -2, -17, 22, -13, -22, 4, 14, 3, -10, 3, 14, -11, -22, 8, 11, 13, -24, 10, 24, 21, 12, 2, 13, -16, 15, 1, -1, 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-18, 8, -13, -2, 16, -6, -1, -7, -20, -20, 9, -10, -15, 6, 17, 16, -19, 17, 19, 0, -18, -8, 15, -23, 12, -6, 1, 11, 21, -15, 6, 19, 10, -24, -16, 23, -1, -8, -17, -14, 11, 2, -1, 7, 14, -2, 11, 20, -1, -4, -3, -23, -19, 20, -11, -2, -20, -24, 11, -12, 5, -21, -2, -13}; sampling_points_.assign(&sampling_points_arr[0],&sampling_points_arr[0]+sizeof(sampling_points_arr)/4); } } } // namespace cv