mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
192 lines
6.9 KiB
192 lines
6.9 KiB
// This file is part of OpenCV project. |
|
// It is subject to the license terms in the LICENSE file found in the top-level directory |
|
// of this distribution and at http://opencv.org/license.html |
|
|
|
#include "test_precomp.hpp" |
|
#include "test_invariance_utils.hpp" |
|
|
|
namespace opencv_test { namespace { |
|
|
|
#define SHOW_DEBUG_LOG 1 |
|
|
|
typedef tuple<std::string, Ptr<FeatureDetector>, Ptr<DescriptorExtractor>, float> |
|
String_FeatureDetector_DescriptorExtractor_Float_t; |
|
const static std::string IMAGE_TSUKUBA = "features2d/tsukuba.png"; |
|
const static std::string IMAGE_BIKES = "detectors_descriptors_evaluation/images_datasets/bikes/img1.png"; |
|
#define Value(...) Values(String_FeatureDetector_DescriptorExtractor_Float_t(__VA_ARGS__)) |
|
|
|
static |
|
void rotateKeyPoints(const vector<KeyPoint>& src, const Mat& H, float angle, vector<KeyPoint>& dst) |
|
{ |
|
// suppose that H is rotation given from rotateImage() and angle has value passed to rotateImage() |
|
vector<Point2f> srcCenters, dstCenters; |
|
KeyPoint::convert(src, srcCenters); |
|
|
|
perspectiveTransform(srcCenters, dstCenters, H); |
|
|
|
dst = src; |
|
for(size_t i = 0; i < dst.size(); i++) |
|
{ |
|
dst[i].pt = dstCenters[i]; |
|
float dstAngle = src[i].angle + angle; |
|
if(dstAngle >= 360.f) |
|
dstAngle -= 360.f; |
|
dst[i].angle = dstAngle; |
|
} |
|
} |
|
|
|
class DescriptorInvariance : public TestWithParam<String_FeatureDetector_DescriptorExtractor_Float_t> |
|
{ |
|
protected: |
|
virtual void SetUp() { |
|
// Read test data |
|
const std::string filename = cvtest::TS::ptr()->get_data_path() + get<0>(GetParam()); |
|
image0 = imread(filename); |
|
ASSERT_FALSE(image0.empty()) << "couldn't read input image"; |
|
|
|
featureDetector = get<1>(GetParam()); |
|
descriptorExtractor = get<2>(GetParam()); |
|
minInliersRatio = get<3>(GetParam()); |
|
} |
|
|
|
Ptr<FeatureDetector> featureDetector; |
|
Ptr<DescriptorExtractor> descriptorExtractor; |
|
float minInliersRatio; |
|
Mat image0; |
|
}; |
|
|
|
typedef DescriptorInvariance DescriptorScaleInvariance; |
|
typedef DescriptorInvariance DescriptorRotationInvariance; |
|
|
|
TEST_P(DescriptorRotationInvariance, rotation) |
|
{ |
|
Mat image1, mask1; |
|
const int borderSize = 16; |
|
Mat mask0(image0.size(), CV_8UC1, Scalar(0)); |
|
mask0(Rect(borderSize, borderSize, mask0.cols - 2*borderSize, mask0.rows - 2*borderSize)).setTo(Scalar(255)); |
|
|
|
vector<KeyPoint> keypoints0; |
|
Mat descriptors0; |
|
featureDetector->detect(image0, keypoints0, mask0); |
|
std::cout << "Keypoints: " << keypoints0.size() << std::endl; |
|
EXPECT_GE(keypoints0.size(), 15u); |
|
descriptorExtractor->compute(image0, keypoints0, descriptors0); |
|
|
|
BFMatcher bfmatcher(descriptorExtractor->defaultNorm()); |
|
|
|
const float minIntersectRatio = 0.5f; |
|
const int maxAngle = 360, angleStep = 15; |
|
for(int angle = 0; angle < maxAngle; angle += angleStep) |
|
{ |
|
Mat H = rotateImage(image0, mask0, static_cast<float>(angle), image1, mask1); |
|
|
|
vector<KeyPoint> keypoints1; |
|
rotateKeyPoints(keypoints0, H, static_cast<float>(angle), keypoints1); |
|
Mat descriptors1; |
|
descriptorExtractor->compute(image1, keypoints1, descriptors1); |
|
|
|
vector<DMatch> descMatches; |
|
bfmatcher.match(descriptors0, descriptors1, descMatches); |
|
|
|
int descInliersCount = 0; |
|
for(size_t m = 0; m < descMatches.size(); m++) |
|
{ |
|
const KeyPoint& transformed_p0 = keypoints1[descMatches[m].queryIdx]; |
|
const KeyPoint& p1 = keypoints1[descMatches[m].trainIdx]; |
|
if(calcIntersectRatio(transformed_p0.pt, 0.5f * transformed_p0.size, |
|
p1.pt, 0.5f * p1.size) >= minIntersectRatio) |
|
{ |
|
descInliersCount++; |
|
} |
|
} |
|
|
|
float descInliersRatio = static_cast<float>(descInliersCount) / keypoints0.size(); |
|
EXPECT_GE(descInliersRatio, minInliersRatio); |
|
#if SHOW_DEBUG_LOG |
|
std::cout |
|
<< "angle = " << angle |
|
<< ", inliers = " << descInliersCount |
|
<< ", descInliersRatio = " << static_cast<float>(descInliersCount) / keypoints0.size() |
|
<< std::endl; |
|
#endif |
|
} |
|
} |
|
|
|
|
|
TEST_P(DescriptorScaleInvariance, scale) |
|
{ |
|
vector<KeyPoint> keypoints0; |
|
featureDetector->detect(image0, keypoints0); |
|
std::cout << "Keypoints: " << keypoints0.size() << std::endl; |
|
EXPECT_GE(keypoints0.size(), 15u); |
|
Mat descriptors0; |
|
descriptorExtractor->compute(image0, keypoints0, descriptors0); |
|
|
|
BFMatcher bfmatcher(descriptorExtractor->defaultNorm()); |
|
for(int scaleIdx = 1; scaleIdx <= 3; scaleIdx++) |
|
{ |
|
float scale = 1.f + scaleIdx * 0.5f; |
|
|
|
Mat image1; |
|
resize(image0, image1, Size(), 1./scale, 1./scale, INTER_LINEAR_EXACT); |
|
|
|
vector<KeyPoint> keypoints1; |
|
scaleKeyPoints(keypoints0, keypoints1, 1.0f/scale); |
|
Mat descriptors1; |
|
descriptorExtractor->compute(image1, keypoints1, descriptors1); |
|
|
|
vector<DMatch> descMatches; |
|
bfmatcher.match(descriptors0, descriptors1, descMatches); |
|
|
|
const float minIntersectRatio = 0.5f; |
|
int descInliersCount = 0; |
|
for(size_t m = 0; m < descMatches.size(); m++) |
|
{ |
|
const KeyPoint& transformed_p0 = keypoints0[descMatches[m].queryIdx]; |
|
const KeyPoint& p1 = keypoints0[descMatches[m].trainIdx]; |
|
if(calcIntersectRatio(transformed_p0.pt, 0.5f * transformed_p0.size, |
|
p1.pt, 0.5f * p1.size) >= minIntersectRatio) |
|
{ |
|
descInliersCount++; |
|
} |
|
} |
|
|
|
float descInliersRatio = static_cast<float>(descInliersCount) / keypoints0.size(); |
|
EXPECT_GE(descInliersRatio, minInliersRatio); |
|
#if SHOW_DEBUG_LOG |
|
std::cout |
|
<< "scale = " << scale |
|
<< ", inliers = " << descInliersCount |
|
<< ", descInliersRatio = " << static_cast<float>(descInliersCount) / keypoints0.size() |
|
<< std::endl; |
|
#endif |
|
} |
|
} |
|
|
|
/* |
|
* Descriptors's rotation invariance check |
|
*/ |
|
|
|
INSTANTIATE_TEST_CASE_P(BRISK, DescriptorRotationInvariance, |
|
Value(IMAGE_TSUKUBA, BRISK::create(), BRISK::create(), 0.99f)); |
|
|
|
INSTANTIATE_TEST_CASE_P(ORB, DescriptorRotationInvariance, |
|
Value(IMAGE_TSUKUBA, ORB::create(), ORB::create(), 0.99f)); |
|
|
|
INSTANTIATE_TEST_CASE_P(AKAZE, DescriptorRotationInvariance, |
|
Value(IMAGE_TSUKUBA, AKAZE::create(), AKAZE::create(), 0.99f)); |
|
|
|
INSTANTIATE_TEST_CASE_P(AKAZE_DESCRIPTOR_KAZE, DescriptorRotationInvariance, |
|
Value(IMAGE_TSUKUBA, AKAZE::create(AKAZE::DESCRIPTOR_KAZE), AKAZE::create(AKAZE::DESCRIPTOR_KAZE), 0.99f)); |
|
|
|
/* |
|
* Descriptor's scale invariance check |
|
*/ |
|
|
|
INSTANTIATE_TEST_CASE_P(AKAZE, DescriptorScaleInvariance, |
|
Value(IMAGE_BIKES, AKAZE::create(), AKAZE::create(), 0.6f)); |
|
|
|
INSTANTIATE_TEST_CASE_P(AKAZE_DESCRIPTOR_KAZE, DescriptorScaleInvariance, |
|
Value(IMAGE_BIKES, AKAZE::create(AKAZE::DESCRIPTOR_KAZE), AKAZE::create(AKAZE::DESCRIPTOR_KAZE), 0.55f)); |
|
|
|
}} // namespace
|
|
|