本文实例讲述了C#实现3D效果的方法。分享给大家供大家参考，具体如下：
一、新建一类文件
private static double [] addVector( double [] a, double [] b)
{
return new double [] { a[0] + b[0], a[1] + b[1], a[2] + b[2] };
}
private static double [] scalarProduct( double [] vector, double scalar)
{
return new double [] { vector[0] * scalar, vector[1] * scalar, vector[2] * scalar };
}
private static double dotProduct( double [] a, double [] b)
{
return a[0] * b[0] + a[1] * b[1] + a[2] * b[2];
}
private static double norm( double [] vector)
{
return Math.Sqrt(dotProduct(vector, vector));
}
private static double [] normalize( double [] vector)
{
return scalarProduct(vector, 1.0 / norm(vector));
}
private static double [] crossProduct( double [] a, double [] b)
{
return new double []
{
(a[1] * b[2] - a[2] * b[1]),
(a[2] * b[0] - a[0] * b[2]),
(a[0] * b[1] - a[1] * b[0])
};
}
private static double [] vectorProductIndexed( double [] v, double [] m, int i)
{
return new double []
{
v[i + 0] * m[0] + v[i + 1] * m[4] + v[i + 2] * m[8] + v[i + 3] * m[12],
v[i + 0] * m[1] + v[i + 1] * m[5] + v[i + 2] * m[9] + v[i + 3] * m[13],
v[i + 0] * m[2] + v[i + 1] * m[6] + v[i + 2] * m[10]+ v[i + 3] * m[14],
v[i + 0] * m[3] + v[i + 1] * m[7] + v[i + 2] * m[11]+ v[i + 3] * m[15]
};
}
private static double [] vectorProduct( double [] v, double [] m)
{
return vectorProductIndexed(v, m, 0);
}
private static double [] matrixProduct( double [] a, double [] b)
{
double [] o1 = vectorProductIndexed(a, b, 0);
double [] o2 = vectorProductIndexed(a, b, 4);
double [] o3 = vectorProductIndexed(a, b, 8);
double [] o4 = vectorProductIndexed(a, b, 12);
return new double []
{
o1[0], o1[1], o1[2], o1[3],
o2[0], o2[1], o2[2], o2[3],
o3[0], o3[1], o3[2], o3[3],
o4[0], o4[1], o4[2], o4[3]
};
}
private static double [] cameraTransform( double [] C, double [] A)
{
double [] w = normalize(addVector(C, scalarProduct(A, -1)));
double [] y = new double [] { 0, 1, 0 };
double [] u = normalize(crossProduct(y, w));
double [] v = crossProduct(w, u);
double [] t = scalarProduct(C, -1);
return new double []
{
u[0], v[0], w[0], 0,
u[1], v[1], w[1], 0,
u[2], v[2], w[2], 0,
dotProduct(u, t), dotProduct(v, t), dotProduct(w, t), 1
};
}
private static double [] viewingTransform( double fov, double n, double f)
{
fov *= (Math.PI / 180);
double cot = 1.0 / Math.Tan(fov / 2);
return new double [] { cot, 0, 0, 0, 0, cot, 0, 0, 0, 0, (f + n) / (f - n), -1, 0, 0, 2 * f * n / (f - n), 0 };
}
public static Image Generate( string captchaText)
{
int fontsize = 24;
Font font = new Font( "Arial" , fontsize);
SizeF sizeF;
using (Graphics g = Graphics.FromImage( new Bitmap(1, 1)))
{
sizeF = g.MeasureString(captchaText, font, 0, StringFormat.GenericDefault);
}
int image2d_x = ( int )sizeF.Width;
int image2d_y = ( int )(fontsize * 1.3);
Bitmap image2d = new Bitmap(image2d_x, image2d_y);
Color black = Color.Black;
Color white = Color.White;
using (Graphics g = Graphics.FromImage(image2d))
{
g.Clear(black);
g.DrawString(captchaText, font, Brushes.White, 0, 0);
}
Random rnd = new Random();
double [] T = cameraTransform( new double [] { rnd.Next(-90, 90), -200, rnd.Next(150, 250) }, new double [] { 0, 0, 0 });
T = matrixProduct(T, viewingTransform(60, 300, 3000));
double [][] coord = new double [image2d_x * image2d_y][];
int count = 0;
for ( int y = 0; y < image2d_y; y += 2)
{
for ( int x = 0; x < image2d_x; x++)
{
int xc = x - image2d_x / 2;
int zc = y - image2d_y / 2;
double yc = -( double )(image2d.GetPixel(x, y).ToArgb() & 0xff) / 256 * 4;
double [] xyz = new double [] { xc, yc, zc, 1 };
xyz = vectorProduct(xyz, T);
coord[count] = xyz;
count++;
}
}
int image3d_x = 256;
int image3d_y = image3d_x * 9 / 16;
Bitmap image3d = new Bitmap(image3d_x, image3d_y);
Color fgcolor = Color.White;
Color bgcolor = Color.Black;
using (Graphics g = Graphics.FromImage(image3d))
{
g.Clear(bgcolor);
count = 0;
double scale = 1.75 - ( double )image2d_x / 400;
for ( int y = 0; y < image2d_y; y += 2)
{
for ( int x = 0; x < image2d_x; x++)
{
if (x > 0)
{
double x0 = coord[count - 1][0] * scale + image3d_x / 2;
double y0 = coord[count - 1][1] * scale + image3d_y / 2;
double x1 = coord[count][0] * scale + image3d_x / 2;
double y1 = coord[count][1] * scale + image3d_y / 2;
g.DrawLine( new Pen(fgcolor), ( float )x0, ( float )y0, ( float )x1, ( float )y1);
}
count++;
}
}
}
return image3d;
}
注意引用命名空间：
using System.Drawing;
二、页面调用
Response.ContentType = "image/pjpeg" ;
Captcha.Generate( "我就是3D内容" ).Save(Response.OutputStream, System.Drawing.Imaging.ImageFormat.Jpeg);
希望本文所述对大家C#程序设计有所帮助。
dy("nrwz");