public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }
public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }
public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }
public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }
public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }
public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }
public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }
public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }
public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }
public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }
public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }
public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }
public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }
public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }
/** * <p>Calculates the Mahalanobis distance between two vectors.</p> * * <p>The function <code>Mahalanobis</code> calculates and returns the weighted * distance between two vectors:</p> * * <p><em>d(vec1, vec2)= sqrt(sum_(i,j)(icovar(i,j)*(vec1(I)-vec2(I))*(vec1(j)-vec2(j))))</em></p> * * <p>The covariance matrix may be calculated using the "calcCovarMatrix" function * and then inverted using the "invert" function (preferably using the * <code>DECOMP_SVD</code> method, as the most accurate).</p> * * @param v1 a v1 * @param v2 a v2 * @param icovar inverse covariance matrix. * * @see <a href="http://docs.opencv.org/modules/core/doc/operations_on_arrays.html#mahalanobis">org.opencv.core.Core.Mahalanobis</a> */ public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }
/** * <p>Calculates the Mahalanobis distance between two vectors.</p> * * <p>The function <code>Mahalanobis</code> calculates and returns the weighted * distance between two vectors:</p> * * <p><em>d(vec1, vec2)= sqrt(sum_(i,j)(icovar(i,j)*(vec1(I)-vec2(I))*(vec1(j)-vec2(j))))</em></p> * * <p>The covariance matrix may be calculated using the "calcCovarMatrix" function * and then inverted using the "invert" function (preferably using the * <code>DECOMP_SVD</code> method, as the most accurate).</p> * * @param v1 a v1 * @param v2 a v2 * @param icovar inverse covariance matrix. * * @see <a href="http://docs.opencv.org/modules/core/doc/operations_on_arrays.html#mahalanobis">org.opencv.core.Core.Mahalanobis</a> */ public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }
/** * <p>Calculates the Mahalanobis distance between two vectors.</p> * * <p>The function <code>Mahalanobis</code> calculates and returns the weighted * distance between two vectors:</p> * * <p><em>d(vec1, vec2)= sqrt(sum_(i,j)(icovar(i,j)*(vec1(I)-vec2(I))*(vec1(j)-vec2(j))))</em></p> * * <p>The covariance matrix may be calculated using the "calcCovarMatrix" function * and then inverted using the "invert" function (preferably using the * <code>DECOMP_SVD</code> method, as the most accurate).</p> * * @param v1 a v1 * @param v2 a v2 * @param icovar inverse covariance matrix. * * @see <a href="http://docs.opencv.org/modules/core/doc/operations_on_arrays.html#mahalanobis">org.opencv.core.Core.Mahalanobis</a> */ public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }
/** * <p>Calculates the Mahalanobis distance between two vectors.</p> * * <p>The function <code>Mahalanobis</code> calculates and returns the weighted * distance between two vectors:</p> * * <p><em>d(vec1, vec2)= sqrt(sum_(i,j)(icovar(i,j)*(vec1(I)-vec2(I))*(vec1(j)-vec2(j))))</em></p> * * <p>The covariance matrix may be calculated using the "calcCovarMatrix" function * and then inverted using the "invert" function (preferably using the * <code>DECOMP_SVD</code> method, as the most accurate).</p> * * @param v1 a v1 * @param v2 a v2 * @param icovar inverse covariance matrix. * * @see <a href="http://docs.opencv.org/modules/core/doc/operations_on_arrays.html#mahalanobis">org.opencv.core.Core.Mahalanobis</a> */ public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }
/** * <p>Calculates the Mahalanobis distance between two vectors.</p> * * <p>The function <code>Mahalanobis</code> calculates and returns the weighted * distance between two vectors:</p> * * <p><em>d(vec1, vec2)= sqrt(sum_(i,j)(icovar(i,j)*(vec1(I)-vec2(I))*(vec1(j)-vec2(j))))</em></p> * * <p>The covariance matrix may be calculated using the "calcCovarMatrix" function * and then inverted using the "invert" function (preferably using the * <code>DECOMP_SVD</code> method, as the most accurate).</p> * * @param v1 a v1 * @param v2 a v2 * @param icovar inverse covariance matrix. * * @see <a href="http://docs.opencv.org/modules/core/doc/operations_on_arrays.html#mahalanobis">org.opencv.core.Core.Mahalanobis</a> */ public static double Mahalanobis(Mat v1, Mat v2, Mat icovar) { double retVal = Mahalanobis_0(v1.nativeObj, v2.nativeObj, icovar.nativeObj); return retVal; }