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  /external/opencv3/modules/features2d/misc/java/src/cpp/
features2d_manual.hpp 39 BRISK = 11,
55 GRID_BRISK = GRIDDETECTOR + BRISK,
71 PYRAMID_BRISK = PYRAMIDDETECTOR + BRISK,
86 DYNAMIC_BRISK = DYNAMICDETECTOR + BRISK,
90 //supported: FAST STAR SIFT SURF ORB MSER GFTT HARRIS BRISK AKAZE Grid(XXXX) Pyramid(XXXX) Dynamic(XXXX)
148 case BRISK:
149 fd = BRISK::create();
319 BRISK = 5,
332 OPPONENT_BRISK = OPPONENTEXTRACTOR + BRISK,
337 //supported SIFT, SURF, ORB, BRIEF, BRISK, FREAK, AKAZE, Opponent(XXXX
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  /external/opencv3/modules/java/src/
features2d+FeatureDetector.java 39 BRISK = 11,
51 GRID_BRISK = GRIDDETECTOR + BRISK,
63 PYRAMID_BRISK = PYRAMIDDETECTOR + BRISK,
75 DYNAMIC_BRISK = DYNAMICDETECTOR + BRISK,
features2d+DescriptorExtractor.java 31 BRISK = 5,
38 OPPONENT_BRISK = OPPONENTEXTRACTOR + BRISK,
  /external/opencv3/samples/cpp/
matchmethod_orb_akaze_brisk.cpp 10 cout << "\n This program demonstrates how to detect compute and match ORB BRISK and AKAZE descriptors \n"
28 typeDesc.push_back("BRISK"); // see http://docs.opencv.org/trunk/db/d95/classcv_1_1ORB.html
86 else if (*itDesc == "BRISK"){
87 b = BRISK::create();
  /external/opencv3/modules/features2d/test/
test_descriptors_regression.cpp 315 CV_DescriptorExtractorTest<Hamming> test( "descriptor-brisk",
317 BRISK::create() );
389 Ptr<BRISK> brisk = BRISK::create(); local
434 brisk->detectAndCompute(img, noArray(), keypoints, descriptors);
test_brisk.cpp 75 Ptr<FeatureDetector> detector = BRISK::create();
test_rotation_and_scale_invariance.cpp 598 DetectorRotationInvarianceTest test(BRISK::create(),
618 Ptr<Feature2D> f2d = BRISK::create();
645 DetectorScaleInvarianceTest test(BRISK::create(), 0.08f, 0.49f);
675 // DescriptorScaleInvarianceTest test(Algorithm::create<FeatureDetector>("Feature2D.BRISK"),
676 // Algorithm::create<DescriptorExtractor>("Feature2D.BRISK"),
677 // Algorithm::create<DescriptorExtractor>("Feature2D.BRISK")->defaultNorm(),
test_detectors_regression.cpp 252 CV_FeatureDetectorTest test( "detector-brisk", BRISK::create() );
test_keypoints.cpp 124 CV_FeatureDetectorKeypointsTest test(BRISK::create());
  /external/opencv3/samples/python2/
find_obj.py 9 find_obj.py [--feature=<sift|surf|orb|akaze|brisk>[-flann]] [ <image1> <image2> ]
11 --feature - Feature to use. Can be sift, surf, orb or brisk. Append '-flann'
39 elif chunks[0] == 'brisk':
asift.py 14 asift.py [--feature=<sift|surf|orb|brisk>[-flann]] [ <image1> <image2> ]
16 --feature - Feature to use. Can be sift, surf, orb or brisk. Append '-flann'
  /external/opencv3/modules/features2d/include/opencv2/
features2d.hpp 218 /** @brief Class implementing the BRISK keypoint detector and descriptor extractor, described in @cite LCS11 .
220 class CV_EXPORTS_W BRISK : public Feature2D
223 /** @brief The BRISK constructor
230 CV_WRAP static Ptr<BRISK> create(int thresh=30, int octaves=3, float patternScale=1.0f);
232 /** @brief The BRISK constructor for a custom pattern
243 CV_WRAP static Ptr<BRISK> create(const std::vector<float> &radiusList, const std::vector<int> &numberList,
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  /external/opencv3/doc/py_tutorials/py_feature2d/py_matcher/
py_matcher.markdown 21 string based descriptors like ORB, BRIEF, BRISK etc, cv2.NORM_HAMMING should be used, which used
  /external/opencv3/modules/features2d/src/
brisk.cpp 38 BRISK - Binary Robust Invariant Scalable Keypoints
40 [1] Stefan Leutenegger,Margarita Chli and Roland Siegwart, BRISK:
54 class BRISK_Impl : public BRISK
102 // some helper structures for the Brisk pattern representation
145 // a layer in the Brisk detector pyramid
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  /external/opencv3/modules/cudafeatures2d/include/opencv2/
cudafeatures2d.hpp 89 preferable choices for SIFT and SURF descriptors, NORM_HAMMING should be used with ORB, BRISK and
  /external/opencv3/doc/
opencv.bib 412 title = {BRISK: Binary robust invariant scalable keypoints},
  /external/opencv3/
Android.mk 199 modules/features2d/src/brisk.cpp \
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  /cts/apps/CtsVerifier/libs/
opencv3-android.jar 
  /external/svox/pico_resources/tools/LingwareBuilding/PicoLingware_source_files/textana/en-US/
en-US_lexpos.utf 178 ADJ "brisk" :G2P
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