Searched refs:extrema (Results 1 – 6 of 6) sorted by relevance
/external/skia/src/pathops/ |
D | SkDCubicLineIntersection.cpp | 138 int extrema = SkDCubic::FindExtrema(&c[0].fX, extremeTs); in intersectRay() local 139 count = c.searchRoots(extremeTs, extrema, 0, SkDCubic::kXAxis, roots); in intersectRay() 174 int extrema = SkDCubic::FindExtrema(&c[0].fY, extremeTs); in HorizontalIntersect() local 175 count = c.searchRoots(extremeTs, extrema, axisIntercept, SkDCubic::kYAxis, roots); in HorizontalIntersect() 237 int extrema = SkDCubic::FindExtrema(&c[0].fX, extremeTs); in VerticalIntersect() local 238 count = c.searchRoots(extremeTs, extrema, axisIntercept, SkDCubic::kXAxis, roots); in VerticalIntersect()
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D | SkPathOpsCubic.cpp | 308 int SkDCubic::searchRoots(double extremeTs[6], int extrema, double axisIntercept, in searchRoots() argument 310 extrema += findInflections(&extremeTs[extrema]); in searchRoots() 311 extremeTs[extrema++] = 0; in searchRoots() 312 extremeTs[extrema] = 1; in searchRoots() 313 SkTQSort(extremeTs, extremeTs + extrema); in searchRoots() 315 for (int index = 0; index < extrema; ) { in searchRoots()
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D | SkPathOpsCubic.h | 87 int searchRoots(double extremes[6], int extrema, double axisIntercept,
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/external/freetype/src/autofit/ |
D | afblue.dat | 218 // up by the mean values of all flat extrema and all round extrema, 233 // Ignore round extrema and define the blue zone with flat values only. 238 // If not set, both round and flat extrema are taken into account.
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/external/opencv3/doc/py_tutorials/py_feature2d/py_sift_intro/ |
D | py_sift_intro.markdown | 50 Once this DoG are found, images are searched for local extrema over scale and space. For eg, one 52 in previous scales. If it is a local extrema, it is a potential keypoint. It basically means that 64 They used Taylor series expansion of scale space to get more accurate location of extrema, and if 65 the intensity at this extrema is less than a threshold value (0.03 as per the paper), it is
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/external/chromium-trace/catapult/third_party/flot/ |
D | API.md | 374 Note that for finding extrema, Flot assumes that the transform
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