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
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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:
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using System.Drawing; |
二、页面调用
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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。