/**
* Generates an artificial topographyGrid of size numRows x numCols if no
* topographic data is available. Results are dumped into topographyGrid.
* @param topographyGrid A pointer to a zero-initialized Grid of size
* numRows x numCols.
* @param numRows The desired number of non-border rows in the resulting matrix.
* @param numCols The desired number of non-border cols in the resulting matrix.
*/
void simulatetopographyGrid(Grid* topographyGrid, int numRows, int numCols) {
Eigen::VectorXd refx = refx.LinSpaced(numCols, -2*M_PI, 2*M_PI);
Eigen::VectorXd refy = refx.LinSpaced(numRows, -2*M_PI, 2*M_PI);
Eigen::MatrixXd X = refx.replicate(1, numRows);
X.transposeInPlace();
Eigen::MatrixXd Y = refy.replicate(1, numCols);
// Eigen can only deal with two matrices at a time,
// so split the computation:
// topographyGrid = sin(X) * sin(Y) * abs(X) * abs(Y) -pi
Eigen::MatrixXd absXY = X.cwiseAbs().cwiseProduct(Y.cwiseAbs());
Eigen::MatrixXd sins = X.array().sin().cwiseProduct(Y.array().sin());
Eigen::MatrixXd temp;
temp.resize(numRows, numCols);
temp = absXY.cwiseProduct(sins);
// All this work to create a matrix of pi...
Eigen::MatrixXd pi;
pi.resize(numRows, numCols);
pi.setConstant(M_PI);
temp = temp - pi;
// And the final result.
topographyGrid->data.block(border, border, numRows, numCols) =
temp.block(0, 0, numRows, numCols);
// Ignore positive values.
topographyGrid->data =
topographyGrid->data.unaryExpr(std::ptr_fun(validateDepth));
topographyGrid->clearNA();
}
Eigen::MatrixXd getMaxDiffForeachEdge(const Eigen::MatrixXd& m)
{
if(m.cols() == 1){
return m.cwiseAbs();
}
else
{
Eigen::MatrixXd maxValueForEachRow = m.rowwise().maxCoeff();
Eigen::MatrixXd minValueForEachRow = m.rowwise().minCoeff();
Eigen::MatrixXd maxDiffForEachRow = maxValueForEachRow - minValueForEachRow;
Eigen::MatrixXd maxAbsDiffForEachRow = maxDiffForEachRow.cwiseAbs();
return maxAbsDiffForEachRow;
}
}
