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.
603 lines
19 KiB
603 lines
19 KiB
package org.opencv.test.calib3d; |
|
|
|
import org.opencv.calib3d.Calib3d; |
|
import org.opencv.core.Core; |
|
import org.opencv.core.CvType; |
|
import org.opencv.core.Mat; |
|
import org.opencv.core.MatOfDouble; |
|
import org.opencv.core.MatOfPoint2f; |
|
import org.opencv.core.MatOfPoint3f; |
|
import org.opencv.core.Point; |
|
import org.opencv.core.Scalar; |
|
import org.opencv.core.Size; |
|
import org.opencv.test.OpenCVTestCase; |
|
import org.opencv.imgproc.Imgproc; |
|
|
|
public class Calib3dTest extends OpenCVTestCase { |
|
|
|
public void testCalibrateCameraListOfMatListOfMatSizeMatMatListOfMatListOfMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testCalibrateCameraListOfMatListOfMatSizeMatMatListOfMatListOfMatInt() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testCalibrationMatrixValues() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testComposeRTMatMatMatMatMatMat() { |
|
Mat rvec1 = new Mat(3, 1, CvType.CV_32F); |
|
rvec1.put(0, 0, 0.5302828, 0.19925919, 0.40105945); |
|
Mat tvec1 = new Mat(3, 1, CvType.CV_32F); |
|
tvec1.put(0, 0, 0.81438506, 0.43713298, 0.2487897); |
|
Mat rvec2 = new Mat(3, 1, CvType.CV_32F); |
|
rvec2.put(0, 0, 0.77310503, 0.76209372, 0.30779448); |
|
Mat tvec2 = new Mat(3, 1, CvType.CV_32F); |
|
tvec2.put(0, 0, 0.70243168, 0.4784472, 0.79219002); |
|
|
|
Mat rvec3 = new Mat(); |
|
Mat tvec3 = new Mat(); |
|
|
|
Mat outRvec = new Mat(3, 1, CvType.CV_32F); |
|
outRvec.put(0, 0, 1.418641, 0.88665926, 0.56020796); |
|
Mat outTvec = new Mat(3, 1, CvType.CV_32F); |
|
outTvec.put(0, 0, 1.4560841, 1.0680628, 0.81598103); |
|
|
|
Calib3d.composeRT(rvec1, tvec1, rvec2, tvec2, rvec3, tvec3); |
|
|
|
assertMatEqual(outRvec, rvec3, EPS); |
|
assertMatEqual(outTvec, tvec3, EPS); |
|
} |
|
|
|
public void testComposeRTMatMatMatMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testComposeRTMatMatMatMatMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testComposeRTMatMatMatMatMatMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testComposeRTMatMatMatMatMatMatMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testComposeRTMatMatMatMatMatMatMatMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testComposeRTMatMatMatMatMatMatMatMatMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testComposeRTMatMatMatMatMatMatMatMatMatMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testComposeRTMatMatMatMatMatMatMatMatMatMatMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
// Mat dr3dr1; |
|
// Mat dr3dt1; |
|
// Mat dr3dr2; |
|
// Mat dr3dt2; |
|
// Mat dt3dr1; |
|
// Mat dt3dt1; |
|
// Mat dt3dr2; |
|
// Mat dt3dt2; |
|
// , dr3dr1, dr3dt1, dr3dr2, dr3dt2, dt3dr1, dt3dt1, dt3dr2, dt3dt2); |
|
// [0.97031879, -0.091774099, 0.38594806; |
|
// 0.15181915, 0.98091727, -0.44186208; |
|
// -0.39509675, 0.43839464, 0.93872648] |
|
// [0, 0, 0; |
|
// 0, 0, 0; |
|
// 0, 0, 0] |
|
// [1.0117353, 0.16348237, -0.083180845; |
|
// -0.1980398, 1.006078, 0.30299222; |
|
// 0.075766489, -0.32784501, 1.0163091] |
|
// [0, 0, 0; |
|
// 0, 0, 0; |
|
// 0, 0, 0] |
|
// [0, 0, 0; |
|
// 0, 0, 0; |
|
// 0, 0, 0] |
|
// [0.69658804, 0.018115902, 0.7172426; |
|
// 0.51114357, 0.68899536, -0.51382649; |
|
// -0.50348526, 0.72453934, 0.47068608] |
|
// [0.18536358, -0.20515044, -0.48834875; |
|
// -0.25120571, 0.29043972, 0.60573936; |
|
// 0.35370794, -0.69923931, 0.45781645] |
|
// [1, 0, 0; |
|
// 0, 1, 0; |
|
// 0, 0, 1] |
|
} |
|
|
|
public void testConvertPointsFromHomogeneous() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testConvertPointsToHomogeneous() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testDecomposeProjectionMatrixMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testDecomposeProjectionMatrixMatMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testDecomposeProjectionMatrixMatMatMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testDecomposeProjectionMatrixMatMatMatMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testDecomposeProjectionMatrixMatMatMatMatMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testDrawChessboardCorners() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testEstimateAffine3DMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testEstimateAffine3DMatMatMatMatDouble() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testEstimateAffine3DMatMatMatMatDoubleDouble() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testFilterSpecklesMatDoubleIntDouble() { |
|
gray_16s_1024.copyTo(dst); |
|
Point center = new Point(gray_16s_1024.rows() / 2., gray_16s_1024.cols() / 2.); |
|
Imgproc.circle(dst, center, 1, Scalar.all(4096)); |
|
|
|
assertMatNotEqual(gray_16s_1024, dst); |
|
Calib3d.filterSpeckles(dst, 1024.0, 100, 0.); |
|
assertMatEqual(gray_16s_1024, dst); |
|
} |
|
|
|
public void testFilterSpecklesMatDoubleIntDoubleMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testFindChessboardCornersMatSizeMat() { |
|
Size patternSize = new Size(9, 6); |
|
MatOfPoint2f corners = new MatOfPoint2f(); |
|
Calib3d.findChessboardCorners(grayChess, patternSize, corners); |
|
assertTrue(!corners.empty()); |
|
} |
|
|
|
public void testFindChessboardCornersMatSizeMatInt() { |
|
Size patternSize = new Size(9, 6); |
|
MatOfPoint2f corners = new MatOfPoint2f(); |
|
Calib3d.findChessboardCorners(grayChess, patternSize, corners, Calib3d.CALIB_CB_ADAPTIVE_THRESH + Calib3d.CALIB_CB_NORMALIZE_IMAGE |
|
+ Calib3d.CALIB_CB_FAST_CHECK); |
|
assertTrue(!corners.empty()); |
|
} |
|
|
|
public void testFindCirclesGridMatSizeMat() { |
|
int size = 300; |
|
Mat img = new Mat(size, size, CvType.CV_8U); |
|
img.setTo(new Scalar(255)); |
|
Mat centers = new Mat(); |
|
|
|
assertFalse(Calib3d.findCirclesGrid(img, new Size(5, 5), centers)); |
|
|
|
for (int i = 0; i < 5; i++) |
|
for (int j = 0; j < 5; j++) { |
|
Point pt = new Point(size * (2 * i + 1) / 10, size * (2 * j + 1) / 10); |
|
Imgproc.circle(img, pt, 10, new Scalar(0), -1); |
|
} |
|
|
|
assertTrue(Calib3d.findCirclesGrid(img, new Size(5, 5), centers)); |
|
|
|
assertEquals(25, centers.rows()); |
|
assertEquals(1, centers.cols()); |
|
assertEquals(CvType.CV_32FC2, centers.type()); |
|
} |
|
|
|
public void testFindCirclesGridMatSizeMatInt() { |
|
int size = 300; |
|
Mat img = new Mat(size, size, CvType.CV_8U); |
|
img.setTo(new Scalar(255)); |
|
Mat centers = new Mat(); |
|
|
|
assertFalse(Calib3d.findCirclesGrid(img, new Size(3, 5), centers, Calib3d.CALIB_CB_CLUSTERING |
|
| Calib3d.CALIB_CB_ASYMMETRIC_GRID)); |
|
|
|
int step = size * 2 / 15; |
|
int offsetx = size / 6; |
|
int offsety = (size - 4 * step) / 2; |
|
for (int i = 0; i < 3; i++) |
|
for (int j = 0; j < 5; j++) { |
|
Point pt = new Point(offsetx + (2 * i + j % 2) * step, offsety + step * j); |
|
Imgproc.circle(img, pt, 10, new Scalar(0), -1); |
|
} |
|
|
|
assertTrue(Calib3d.findCirclesGrid(img, new Size(3, 5), centers, Calib3d.CALIB_CB_CLUSTERING |
|
| Calib3d.CALIB_CB_ASYMMETRIC_GRID)); |
|
|
|
assertEquals(15, centers.rows()); |
|
assertEquals(1, centers.cols()); |
|
assertEquals(CvType.CV_32FC2, centers.type()); |
|
} |
|
|
|
public void testFindFundamentalMatListOfPointListOfPoint() { |
|
int minFundamentalMatPoints = 8; |
|
|
|
MatOfPoint2f pts = new MatOfPoint2f(); |
|
pts.alloc(minFundamentalMatPoints); |
|
|
|
for (int i = 0; i < minFundamentalMatPoints; i++) { |
|
double x = Math.random() * 100 - 50; |
|
double y = Math.random() * 100 - 50; |
|
pts.put(i, 0, x, y); //add(new Point(x, y)); |
|
} |
|
|
|
Mat fm = Calib3d.findFundamentalMat(pts, pts); |
|
|
|
truth = new Mat(3, 3, CvType.CV_64F); |
|
truth.put(0, 0, 0, -0.577, 0.288, 0.577, 0, 0.288, -0.288, -0.288, 0); |
|
assertMatEqual(truth, fm, EPS); |
|
} |
|
|
|
public void testFindFundamentalMatListOfPointListOfPointInt() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testFindFundamentalMatListOfPointListOfPointIntDouble() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testFindFundamentalMatListOfPointListOfPointIntDoubleDouble() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testFindFundamentalMatListOfPointListOfPointIntDoubleDoubleMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testFindHomographyListOfPointListOfPoint() { |
|
final int NUM = 20; |
|
|
|
MatOfPoint2f originalPoints = new MatOfPoint2f(); |
|
originalPoints.alloc(NUM); |
|
MatOfPoint2f transformedPoints = new MatOfPoint2f(); |
|
transformedPoints.alloc(NUM); |
|
|
|
for (int i = 0; i < NUM; i++) { |
|
double x = Math.random() * 100 - 50; |
|
double y = Math.random() * 100 - 50; |
|
originalPoints.put(i, 0, x, y); |
|
transformedPoints.put(i, 0, y, x); |
|
} |
|
|
|
Mat hmg = Calib3d.findHomography(originalPoints, transformedPoints); |
|
|
|
truth = new Mat(3, 3, CvType.CV_64F); |
|
truth.put(0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1); |
|
|
|
assertMatEqual(truth, hmg, EPS); |
|
} |
|
|
|
public void testFindHomographyListOfPointListOfPointInt() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testFindHomographyListOfPointListOfPointIntDouble() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testFindHomographyListOfPointListOfPointIntDoubleMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testGetOptimalNewCameraMatrixMatMatSizeDouble() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testGetOptimalNewCameraMatrixMatMatSizeDoubleSize() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testGetOptimalNewCameraMatrixMatMatSizeDoubleSizeRect() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testGetOptimalNewCameraMatrixMatMatSizeDoubleSizeRectBoolean() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testGetValidDisparityROI() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testInitCameraMatrix2DListOfMatListOfMatSize() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testInitCameraMatrix2DListOfMatListOfMatSizeDouble() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testMatMulDeriv() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testProjectPointsMatMatMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testProjectPointsMatMatMatMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testProjectPointsMatMatMatMatMatMatMatDouble() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testRectify3Collinear() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testReprojectImageTo3DMatMatMat() { |
|
Mat transformMatrix = new Mat(4, 4, CvType.CV_64F); |
|
transformMatrix.put(0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1); |
|
|
|
Mat disparity = new Mat(matSize, matSize, CvType.CV_32F); |
|
|
|
float[] disp = new float[matSize * matSize]; |
|
for (int i = 0; i < matSize; i++) |
|
for (int j = 0; j < matSize; j++) |
|
disp[i * matSize + j] = i - j; |
|
disparity.put(0, 0, disp); |
|
|
|
Mat _3dPoints = new Mat(); |
|
|
|
Calib3d.reprojectImageTo3D(disparity, _3dPoints, transformMatrix); |
|
|
|
assertEquals(CvType.CV_32FC3, _3dPoints.type()); |
|
assertEquals(matSize, _3dPoints.rows()); |
|
assertEquals(matSize, _3dPoints.cols()); |
|
|
|
truth = new Mat(matSize, matSize, CvType.CV_32FC3); |
|
|
|
float[] _truth = new float[matSize * matSize * 3]; |
|
for (int i = 0; i < matSize; i++) |
|
for (int j = 0; j < matSize; j++) { |
|
_truth[(i * matSize + j) * 3 + 0] = i; |
|
_truth[(i * matSize + j) * 3 + 1] = j; |
|
_truth[(i * matSize + j) * 3 + 2] = i - j; |
|
} |
|
truth.put(0, 0, _truth); |
|
|
|
assertMatEqual(truth, _3dPoints, EPS); |
|
} |
|
|
|
public void testReprojectImageTo3DMatMatMatBoolean() { |
|
Mat transformMatrix = new Mat(4, 4, CvType.CV_64F); |
|
transformMatrix.put(0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1); |
|
|
|
Mat disparity = new Mat(matSize, matSize, CvType.CV_32F); |
|
|
|
float[] disp = new float[matSize * matSize]; |
|
for (int i = 0; i < matSize; i++) |
|
for (int j = 0; j < matSize; j++) |
|
disp[i * matSize + j] = i - j; |
|
disp[0] = -Float.MAX_VALUE; |
|
disparity.put(0, 0, disp); |
|
|
|
Mat _3dPoints = new Mat(); |
|
|
|
Calib3d.reprojectImageTo3D(disparity, _3dPoints, transformMatrix, true); |
|
|
|
assertEquals(CvType.CV_32FC3, _3dPoints.type()); |
|
assertEquals(matSize, _3dPoints.rows()); |
|
assertEquals(matSize, _3dPoints.cols()); |
|
|
|
truth = new Mat(matSize, matSize, CvType.CV_32FC3); |
|
|
|
float[] _truth = new float[matSize * matSize * 3]; |
|
for (int i = 0; i < matSize; i++) |
|
for (int j = 0; j < matSize; j++) { |
|
_truth[(i * matSize + j) * 3 + 0] = i; |
|
_truth[(i * matSize + j) * 3 + 1] = j; |
|
_truth[(i * matSize + j) * 3 + 2] = i - j; |
|
} |
|
_truth[2] = 10000; |
|
truth.put(0, 0, _truth); |
|
|
|
assertMatEqual(truth, _3dPoints, EPS); |
|
} |
|
|
|
public void testReprojectImageTo3DMatMatMatBooleanInt() { |
|
Mat transformMatrix = new Mat(4, 4, CvType.CV_64F); |
|
transformMatrix.put(0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1); |
|
|
|
Mat disparity = new Mat(matSize, matSize, CvType.CV_32F); |
|
|
|
float[] disp = new float[matSize * matSize]; |
|
for (int i = 0; i < matSize; i++) |
|
for (int j = 0; j < matSize; j++) |
|
disp[i * matSize + j] = i - j; |
|
disparity.put(0, 0, disp); |
|
|
|
Mat _3dPoints = new Mat(); |
|
|
|
Calib3d.reprojectImageTo3D(disparity, _3dPoints, transformMatrix, false, CvType.CV_16S); |
|
|
|
assertEquals(CvType.CV_16SC3, _3dPoints.type()); |
|
assertEquals(matSize, _3dPoints.rows()); |
|
assertEquals(matSize, _3dPoints.cols()); |
|
|
|
truth = new Mat(matSize, matSize, CvType.CV_16SC3); |
|
|
|
short[] _truth = new short[matSize * matSize * 3]; |
|
for (short i = 0; i < matSize; i++) |
|
for (short j = 0; j < matSize; j++) { |
|
_truth[(i * matSize + j) * 3 + 0] = i; |
|
_truth[(i * matSize + j) * 3 + 1] = j; |
|
_truth[(i * matSize + j) * 3 + 2] = (short) (i - j); |
|
} |
|
truth.put(0, 0, _truth); |
|
|
|
assertMatEqual(truth, _3dPoints, EPS); |
|
} |
|
|
|
public void testRodriguesMatMat() { |
|
Mat r = new Mat(3, 1, CvType.CV_32F); |
|
Mat R = new Mat(3, 3, CvType.CV_32F); |
|
|
|
r.put(0, 0, Math.PI, 0, 0); |
|
|
|
Calib3d.Rodrigues(r, R); |
|
|
|
truth = new Mat(3, 3, CvType.CV_32F); |
|
truth.put(0, 0, 1, 0, 0, 0, -1, 0, 0, 0, -1); |
|
assertMatEqual(truth, R, EPS); |
|
|
|
Mat r2 = new Mat(); |
|
Calib3d.Rodrigues(R, r2); |
|
|
|
assertMatEqual(r, r2, EPS); |
|
} |
|
|
|
public void testRodriguesMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testRQDecomp3x3MatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testRQDecomp3x3MatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testRQDecomp3x3MatMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testRQDecomp3x3MatMatMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testSolvePnPListOfPoint3ListOfPointMatMatMatMat() { |
|
Mat intrinsics = Mat.eye(3, 3, CvType.CV_32F); |
|
intrinsics.put(0, 0, 400); |
|
intrinsics.put(1, 1, 400); |
|
intrinsics.put(0, 2, 640 / 2); |
|
intrinsics.put(1, 2, 480 / 2); |
|
|
|
final int minPnpPointsNum = 4; |
|
|
|
MatOfPoint3f points3d = new MatOfPoint3f(); |
|
points3d.alloc(minPnpPointsNum); |
|
MatOfPoint2f points2d = new MatOfPoint2f(); |
|
points2d.alloc(minPnpPointsNum); |
|
|
|
for (int i = 0; i < minPnpPointsNum; i++) { |
|
double x = Math.random() * 100 - 50; |
|
double y = Math.random() * 100 - 50; |
|
points2d.put(i, 0, x, y); //add(new Point(x, y)); |
|
points3d.put(i, 0, 0, y, x); // add(new Point3(0, y, x)); |
|
} |
|
|
|
Mat rvec = new Mat(); |
|
Mat tvec = new Mat(); |
|
Calib3d.solvePnP(points3d, points2d, intrinsics, new MatOfDouble(), rvec, tvec); |
|
|
|
Mat truth_rvec = new Mat(3, 1, CvType.CV_64F); |
|
truth_rvec.put(0, 0, 0, Math.PI / 2, 0); |
|
|
|
Mat truth_tvec = new Mat(3, 1, CvType.CV_64F); |
|
truth_tvec.put(0, 0, -320, -240, 400); |
|
|
|
assertMatEqual(truth_rvec, rvec, EPS); |
|
assertMatEqual(truth_tvec, tvec, EPS); |
|
} |
|
|
|
public void testSolvePnPListOfPoint3ListOfPointMatMatMatMatBoolean() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testSolvePnPRansacListOfPoint3ListOfPointMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testSolvePnPRansacListOfPoint3ListOfPointMatMatMatMatBoolean() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testSolvePnPRansacListOfPoint3ListOfPointMatMatMatMatBooleanInt() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testSolvePnPRansacListOfPoint3ListOfPointMatMatMatMatBooleanIntFloat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testSolvePnPRansacListOfPoint3ListOfPointMatMatMatMatBooleanIntFloatInt() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testSolvePnPRansacListOfPoint3ListOfPointMatMatMatMatBooleanIntFloatIntMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testStereoCalibrateListOfMatListOfMatListOfMatMatMatMatMatSizeMatMatMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testStereoCalibrateListOfMatListOfMatListOfMatMatMatMatMatSizeMatMatMatMatTermCriteria() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testStereoCalibrateListOfMatListOfMatListOfMatMatMatMatMatSizeMatMatMatMatTermCriteriaInt() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testStereoRectifyUncalibratedMatMatMatSizeMatMat() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testStereoRectifyUncalibratedMatMatMatSizeMatMatDouble() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testValidateDisparityMatMatIntInt() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testValidateDisparityMatMatIntIntInt() { |
|
fail("Not yet implemented"); |
|
} |
|
|
|
public void testComputeCorrespondEpilines() |
|
{ |
|
Mat fundamental = new Mat(3, 3, CvType.CV_64F); |
|
fundamental.put(0, 0, 0, -0.577, 0.288, 0.577, 0, 0.288, -0.288, -0.288, 0); |
|
MatOfPoint2f left = new MatOfPoint2f(); |
|
left.alloc(1); |
|
left.put(0, 0, 2, 3); //add(new Point(x, y)); |
|
Mat lines = new Mat(); |
|
Mat truth = new Mat(1, 1, CvType.CV_32FC3); |
|
truth.put(0, 0, -0.70735186, 0.70686162, -0.70588124); |
|
Calib3d.computeCorrespondEpilines(left, 1, fundamental, lines); |
|
assertMatEqual(truth, lines, EPS); |
|
} |
|
}
|
|
|