C#实现3D效果完整实例

 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  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; } 

 using System.Drawing;

 Response.ContentType = "image/pjpeg"; Captcha.Generate("我就是3D内容").Save(Response.OutputStream, System.Drawing.Imaging.ImageFormat.Jpeg);