/*
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For Open Source Computer Vision Library
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Copyright (C) 2015-2016, OpenCV Foundation, all rights reserved.
Copyright (C) 2015-2016, Itseez Inc., all rights reserved.
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*/
/*
Contributed by Gregor Kovalcik <gregor dot kovalcik at gmail dot com>
based on code provided by Martin Krulis, Jakub Lokoc and Tomas Skopal.
References:
Martin Krulis, Jakub Lokoc, Tomas Skopal.
Efficient Extraction of Clustering-Based Feature Signatures Using GPU Architectures.
Multimedia tools and applications, 75(13), pp.: 8071�8103, Springer, ISSN: 1380-7501, 2016
Christian Beecks, Merih Seran Uysal, Thomas Seidl.
Signature quadratic form distance.
In Proceedings of the ACM International Conference on Image and Video Retrieval, pages 438-445.
ACM, 2010.
*/
#include "../precomp.hpp"
#include "pct_sampler.hpp"
namespace cv
{
namespace xfeatures2d
{
namespace pct_signatures
{
class PCTSampler_Impl CV_FINAL : public PCTSampler
{
private:
/**
* @brief Initial sampling point coordinates.
*/
std::vector<Point2f> mInitSamplingPoints;
/**
* @brief Number of bits per pixel in grayscale image used for computing contrast and entropy.
*/
int mGrayscaleBits;
/**
* @brief Radius of scanning window around a sampled point used for computing contrast and entropy.
*/
int mWindowRadius;
/**
* @brief Weights of different feauture dimensions.
* Default values are 1;
*/
std::vector<float> mWeights;
/**
* @brief Translation of different feauture dimensions.
* Default values are 0;
*/
std::vector<float> mTranslations;
public:
PCTSampler_Impl(
const std::vector<Point2f>& initSamplingPoints,
int grayscaleBits,
int windowRadius)
: mInitSamplingPoints(initSamplingPoints),
mGrayscaleBits(grayscaleBits),
mWindowRadius(windowRadius)
{
// Initialize weights and translation vectors to neutral values.
for (int i = 0; i < SIGNATURE_DIMENSION; i++)
{
mWeights.push_back(1.0);
mTranslations.push_back(0.0);
}
}
/**** Acessors ****/
int getSampleCount() const CV_OVERRIDE { return (int)mInitSamplingPoints.size(); }
int getGrayscaleBits() const CV_OVERRIDE { return mGrayscaleBits; }
int getWindowRadius() const CV_OVERRIDE { return mWindowRadius; }
float getWeightX() const CV_OVERRIDE { return mWeights[X_IDX]; }
float getWeightY() const CV_OVERRIDE { return mWeights[Y_IDX]; }
float getWeightL() const CV_OVERRIDE { return mWeights[L_IDX]; }
float getWeightA() const CV_OVERRIDE { return mWeights[A_IDX]; }
float getWeightB() const CV_OVERRIDE { return mWeights[B_IDX]; }
float getWeightContrast() const CV_OVERRIDE { return mWeights[CONTRAST_IDX]; }
float getWeightEntropy() const CV_OVERRIDE { return mWeights[ENTROPY_IDX]; }
std::vector<Point2f> getSamplingPoints() const CV_OVERRIDE
{ return mInitSamplingPoints; }
void setGrayscaleBits(int grayscaleBits) CV_OVERRIDE { mGrayscaleBits = grayscaleBits; }
void setWindowRadius(int windowRadius) CV_OVERRIDE { mWindowRadius = windowRadius; }
void setWeightX(float weight) CV_OVERRIDE { mWeights[X_IDX] = weight; }
void setWeightY(float weight) CV_OVERRIDE { mWeights[Y_IDX] = weight; }
void setWeightL(float weight) CV_OVERRIDE { mWeights[L_IDX] = weight; }
void setWeightA(float weight) CV_OVERRIDE { mWeights[A_IDX] = weight; }
void setWeightB(float weight) CV_OVERRIDE { mWeights[B_IDX] = weight; }
void setWeightContrast(float weight) CV_OVERRIDE { mWeights[CONTRAST_IDX] = weight; }
void setWeightEntropy(float weight) CV_OVERRIDE { mWeights[ENTROPY_IDX] = weight; }
void setWeight(int idx, float value) CV_OVERRIDE
{
mWeights[idx] = value;
}
void setWeights(const std::vector<float>& weights) CV_OVERRIDE
{
if (weights.size() != mWeights.size())
{
CV_Error_(Error::StsUnmatchedSizes,
("Invalid weights dimension %d (max %d)", weights.size(), mWeights.size()));
}
else
{
for (int i = 0; i < (int)(mWeights.size()); ++i)
{
mWeights[i] = weights[i];
}
}
}
void setTranslation(int idx, float value) CV_OVERRIDE
{
mTranslations[idx] = value;
}
void setTranslations(const std::vector<float>& translations) CV_OVERRIDE
{
if (translations.size() != mTranslations.size())
{
CV_Error_(Error::StsUnmatchedSizes,
("Invalid translations dimension %d (max %d)", translations.size(), mTranslations.size()));
}
else
{
for (int i = 0; i < (int)(mTranslations.size()); ++i)
{
mTranslations[i] = translations[i];
}
}
}
void setSamplingPoints(std::vector<Point2f> samplingPoints) CV_OVERRIDE { mInitSamplingPoints = samplingPoints; }
void sample(InputArray _image, OutputArray _samples) const CV_OVERRIDE
{
// prepare matrices
Mat image = _image.getMat();
_samples.create((int)(mInitSamplingPoints.size()), SIGNATURE_DIMENSION, CV_32F);
Mat samples = _samples.getMat();
GrayscaleBitmap grayscaleBitmap(image, mGrayscaleBits);
// sample each sample point
for (int iSample = 0; iSample < (int)(mInitSamplingPoints.size()); iSample++)
{
// sampling points are in range [0..1)
int x = (int)(mInitSamplingPoints[iSample].x * (image.cols));
int y = (int)(mInitSamplingPoints[iSample].y * (image.rows));
// x, y normalized
samples.at<float>(iSample, X_IDX) = (float)((float)x / (float)image.cols * mWeights[X_IDX] + mTranslations[X_IDX]);
samples.at<float>(iSample, Y_IDX) = (float)((float)y / (float)image.rows * mWeights[Y_IDX] + mTranslations[Y_IDX]);
// get Lab pixel color
Mat rgbPixel(image, Rect(x, y, 1, 1));
Mat labPixel;
rgbPixel.convertTo(rgbPixel, CV_32FC3, 1.0 / 255);
cvtColor(rgbPixel, labPixel, COLOR_BGR2Lab);
Vec3f labColor = labPixel.at<Vec3f>(0, 0);
// Lab color normalized
samples.at<float>(iSample, L_IDX) = (float)(std::floor(labColor[0] + 0.5) / L_COLOR_RANGE * mWeights[L_IDX] + mTranslations[L_IDX]);
samples.at<float>(iSample, A_IDX) = (float)(std::floor(labColor[1] + 0.5) / A_COLOR_RANGE * mWeights[A_IDX] + mTranslations[A_IDX]);
samples.at<float>(iSample, B_IDX) = (float)(std::floor(labColor[2] + 0.5) / B_COLOR_RANGE * mWeights[B_IDX] + mTranslations[B_IDX]);
// contrast and entropy
float contrast = 0.0, entropy = 0.0;
grayscaleBitmap.getContrastEntropy(x, y, contrast, entropy, mWindowRadius); // HOT PATH: 30%
samples.at<float>(iSample, CONTRAST_IDX)
= (float)(contrast / SAMPLER_CONTRAST_NORMALIZER * mWeights[CONTRAST_IDX] + mTranslations[CONTRAST_IDX]);
samples.at<float>(iSample, ENTROPY_IDX)
= (float)(entropy / SAMPLER_ENTROPY_NORMALIZER * mWeights[ENTROPY_IDX] + mTranslations[ENTROPY_IDX]);
}
}
};
Ptr<PCTSampler> PCTSampler::create(
const std::vector<Point2f>& initPoints,
int grayscaleBits,
int windowRadius)
{
return makePtr<PCTSampler_Impl>(initPoints, grayscaleBits, windowRadius);
}
}
}
}