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Open Source Computer Vision Library
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175 lines
5.5 KiB
175 lines
5.5 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. |
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// Copyright (C) 2009-2010, Willow Garage Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#include "precomp.hpp" |
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#include <algorithm> |
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#include <vector> |
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#include <iostream> |
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#include <iomanip> |
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using namespace cv; |
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inline int smoothedSum(const Mat& sum, const KeyPoint& pt, int y, int x) |
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{ |
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static const int HALF_KERNEL = BriefDescriptorExtractor::KERNEL_SIZE / 2; |
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int img_y = (int)(pt.pt.y + 0.5) + y; |
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int img_x = (int)(pt.pt.x + 0.5) + x; |
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return sum.at<int>(img_y + HALF_KERNEL + 1, img_x + HALF_KERNEL + 1) |
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- sum.at<int>(img_y + HALF_KERNEL + 1, img_x - HALF_KERNEL) |
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- sum.at<int>(img_y - HALF_KERNEL, img_x + HALF_KERNEL + 1) |
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+ sum.at<int>(img_y - HALF_KERNEL, img_x - HALF_KERNEL); |
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} |
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static void pixelTests16(const Mat& sum, const std::vector<KeyPoint>& keypoints, Mat& descriptors) |
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{ |
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for (int i = 0; i < (int)keypoints.size(); ++i) |
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{ |
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uchar* desc = descriptors.ptr(i); |
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const KeyPoint& pt = keypoints[i]; |
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#include "generated_16.i" |
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} |
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} |
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static void pixelTests32(const Mat& sum, const std::vector<KeyPoint>& keypoints, Mat& descriptors) |
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{ |
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for (int i = 0; i < (int)keypoints.size(); ++i) |
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{ |
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uchar* desc = descriptors.ptr(i); |
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const KeyPoint& pt = keypoints[i]; |
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#include "generated_32.i" |
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} |
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} |
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static void pixelTests64(const Mat& sum, const std::vector<KeyPoint>& keypoints, Mat& descriptors) |
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{ |
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for (int i = 0; i < (int)keypoints.size(); ++i) |
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{ |
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uchar* desc = descriptors.ptr(i); |
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const KeyPoint& pt = keypoints[i]; |
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#include "generated_64.i" |
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} |
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} |
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namespace cv |
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{ |
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BriefDescriptorExtractor::BriefDescriptorExtractor(int bytes) : |
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bytes_(bytes), test_fn_(NULL) |
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{ |
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switch (bytes) |
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{ |
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case 16: |
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test_fn_ = pixelTests16; |
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break; |
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case 32: |
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test_fn_ = pixelTests32; |
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break; |
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case 64: |
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test_fn_ = pixelTests64; |
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break; |
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default: |
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CV_Error(Error::StsBadArg, "bytes must be 16, 32, or 64"); |
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} |
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} |
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int BriefDescriptorExtractor::descriptorSize() const |
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{ |
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return bytes_; |
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} |
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int BriefDescriptorExtractor::descriptorType() const |
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{ |
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return CV_8UC1; |
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} |
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void BriefDescriptorExtractor::read( const FileNode& fn) |
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{ |
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int dSize = fn["descriptorSize"]; |
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switch (dSize) |
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{ |
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case 16: |
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test_fn_ = pixelTests16; |
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break; |
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case 32: |
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test_fn_ = pixelTests32; |
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break; |
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case 64: |
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test_fn_ = pixelTests64; |
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break; |
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default: |
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CV_Error(Error::StsBadArg, "descriptorSize must be 16, 32, or 64"); |
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} |
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bytes_ = dSize; |
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} |
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void BriefDescriptorExtractor::write( FileStorage& fs) const |
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{ |
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fs << "descriptorSize" << bytes_; |
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} |
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void BriefDescriptorExtractor::computeImpl(const Mat& image, std::vector<KeyPoint>& keypoints, Mat& descriptors) const |
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{ |
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// Construct integral image for fast smoothing (box filter) |
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Mat sum; |
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Mat grayImage = image; |
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if( image.type() != CV_8U ) cvtColor( image, grayImage, COLOR_BGR2GRAY ); |
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///TODO allow the user to pass in a precomputed integral image |
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//if(image.type() == CV_32S) |
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// sum = image; |
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//else |
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integral( grayImage, sum, CV_32S); |
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//Remove keypoints very close to the border |
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KeyPointsFilter::runByImageBorder(keypoints, image.size(), PATCH_SIZE/2 + KERNEL_SIZE/2); |
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descriptors = Mat::zeros((int)keypoints.size(), bytes_, CV_8U); |
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test_fn_(sum, keypoints, descriptors); |
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} |
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} // namespace cv
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