public Camera(Vector<double> cameraPosition, Vector<double> cameraTarget, Vector<double> upVector, PhysicalData pd)
{
this.cameraPosition = cameraPosition;
this.cameraTarget = cameraTarget;
this.upVector = upVector;
this.physicalData = pd;
CreateMatrices();
}
public MainWindow()
{
InitializeComponent();
var cameraPosition = Vector<double>.Build.DenseOfArray(new double[3] { 5, 5, 0.5 });
var cameraTarget = Vector<double>.Build.DenseOfArray(new double[3] { 0.5, 0, 0 });
var upVector = Vector<double>.Build.DenseOfArray(new double[3] { 0, 0, 1 });
PhysicalData pd = new PhysicalData()
{
n = 1,
f = 100,
fov = 660,
a = 1
};
var cameraPosition2 = Vector<double>.Build.DenseOfArray(new double[3] { 5, -5, 2 });
var cameraTarget2 = Vector<double>.Build.DenseOfArray(new double[3] { 1, 1, 0 });
var upVector2 = Vector<double>.Build.DenseOfArray(new double[3] { 0, 0, 1 });
PhysicalData pd2 = new PhysicalData()
{
n = 1,
f = 150,
fov = 650,
a = 1
};
p = new Presenter();
p.CreateMainCamera(cameraPosition, cameraTarget, upVector, pd);
p.CreateSecondCamera(cameraPosition2, cameraTarget2, upVector2, pd2);
renderBox.Presenter = p;
var meshes = JSON.LoadJSONFile(@"../../Resources/scena1.babylon");
this.meshes
= renderBox.Meshes
= meshes.ToList();
this.cboMeshes.DataSource = this.meshes;
this.cboMeshes.DisplayMember = "Name";
this.cboTransformationAxis.DataSource = new BindingSource(this.transformationAxis, null);
this.cboTransformationAxis.DisplayMember = "Key";
this.cboTransformationAxis.ValueMember = "Value";
SetSuzanne();
T = new Timer();
T.Interval = 10;
this.renderBox.Select();
T.Tick += new EventHandler((object sender, EventArgs e) =>
{
renderBox.Render(cboSecondLightSource.Checked);
});
T.Start();
}
public void CreateSecondCamera(Vector<double> cameraPosition, Vector<double> cameraTarget, Vector<double> upVector, PhysicalData pd)
{
this.secondCamera = new Camera(cameraPosition, cameraTarget, upVector, pd);
}
private Matrix<double> CreateProjectionMatrix(PhysicalData pd)
{
double e = 1 / Math.Tan(pd.fov * Math.PI / 180 / 2);
var result = Matrix<double>.Build.DenseOfRowArrays(new List<double[]> {
new double[4] {e, 0, 0, 0},
new double[4] {0, e/pd.a, 0, 0},
new double[4] {0, 0, -(double)(pd.f+pd.n)/(double)(pd.f-pd.n), -2*(double)(pd.f+pd.n)/(double)(pd.f-pd.n)},
new double[4] {0,0,-1,0}
});
return result;
}
