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student-ar-org-libspark-flartoolkit-core-param-FLARCameraDistortionFactor.ax

student-ar-org-libspark-flartoolkit-core-param-FLARCameraDistortionFactor.ax [swf] flex


  /* 
   * PROJECT: FLARToolKit
   * --------------------------------------------------------------------------------
   * This work is based on the NyARToolKit developed by
   *   R.Iizuka (nyatla)
   * http://nyatla.jp/nyatoolkit/
   *
   * The FLARToolKit is ActionScript 3.0 version ARToolkit class library.
   * Copyright (C)2008 Saqoosha
   *
   * This program is free software; you can redistribute it and/or
   * modify it under the terms of the GNU General Public License
   * as published by the Free Software Foundation; either version 2
   * of the License, or (at your option) any later version.
   * 
   * This program is distributed in the hope that it will be useful,
   * but WITHOUT ANY WARRANTY; without even the implied warranty of
   * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
   * GNU General Public License for more details.
   * 
   * You should have received a copy of the GNU General Public License
   * along with this framework; if not, write to the Free Software
   * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
   * 
   * For further information please contact.
   *        http://www.libspark.org/wiki/saqoosha/FLARToolKit
   *        <saq(at)saqoosha.net>
   * 
   */
  
  package org.libspark.flartoolkit.core.param {
          import org.libspark.flartoolkit.core.types.FLARDoublePoint2d;
          import org.libspark.flartoolkit.utils.DoubleValue;        
  
          
カメラの歪み成分を格納するクラスと、補正関数群 http://www.hitl.washington.edu/artoolkit/Papers/ART02-Tutorial.pdf * 11ページを読むといいよ。 x=x(xi-x0),y=s(yi-y0) d^2=x^2+y^2 p=(1-fd^2) xd=px+x0,yd=py+y0

  
          final public class @ax-student-ar-org-libspark-flartoolkit-core-param-FLARCameraDistortionFactor {
  
                  private static const PD_LOOP:int = 3;
                  private var _f0:Number; //x0
                  private var _f1:Number; //y0
                  private var _f2:Number; //100000000.0*f
                  private var _f3:Number; //s
                  
                  
配列の値をファクタ値としてセットする。
parameter: i_factor 4要素以上の配列

  
                  public function setValue(i_factor:Array):void {
                          this._f0 = i_factor[0];
                          this._f1 = i_factor[1];
                          this._f2 = i_factor[2];
                          this._f3 = i_factor[3];
                          return;
                  }
  
                  public function getValue(o_factor:Array):void {
                          o_factor[0] = this._f0;
                          o_factor[1] = this._f1;
                          o_factor[2] = this._f2;
                          o_factor[3] = this._f3;
                          return;
                  }        
  
                  public function changeScale(i_scale:Number):void {
                          this._f0 = this._f0 * i_scale;
                          // newparam->dist_factor[0] =source->dist_factor[0] *scale;
                          this._f1 = this._f1 * i_scale;
                          // newparam->dist_factor[1] =source->dist_factor[1] *scale;
                          this._f2 = this._f2 / (i_scale * i_scale);
                          // newparam->dist_factor[2]=source->dist_factor[2]/ (scale*scale);
                          //this.f3=this.f3;// newparam->dist_factor[3] =source->dist_factor[3];
                          return;
                  }
  
                  
int arParamIdeal2Observ( const double dist_factor[4], const double ix,const double iy,double *ox, double *oy ) 関数の代替関数
parameter: i_in
parameter: o_out

  
                  public function ideal2Observ(i_in:FLARDoublePoint2d, o_out:FLARDoublePoint2d):void {
                          const x:Number = (i_in.x - this._f0) * this._f3;
                          const y:Number = (i_in.y - this._f1) * this._f3;
                          if (x == 0.0 && y == 0.0) {
                                  o_out.x = this._f0;
                                  o_out.y = this._f1;
                          } else {
                                  const d:Number = 1.0 - this._f2 / 100000000.0 * (x * x + y * y);
                                  o_out.x = x * d + this._f0;
                                  o_out.y = y * d + this._f1;
                          }
                          return;
                  }
  
                  
ideal2Observをまとめて実行します。
parameter: i_in FLARDoublePoint2d[]
parameter: o_out FLARDoublePoint2d[]

  
                  public function ideal2ObservBatch(i_in:Array, o_out:Array, i_size:int):void {
                          var x:Number;
                          var y:Number;
                          const d0:Number = this._f0;
                          const d1:Number = this._f1;
                          const d3:Number = this._f3;
                          const d2_w:Number = this._f2 / 100000000.0;
                          
                          var d:Number;
                          for (var i:int = 0; i < i_size; i++) {
                                  x = (i_in[i].x - d0) * d3;
                                  y = (i_in[i].y - d1) * d3;
                                  if (x == 0.0 && y == 0.0) {
                                          o_out[i].x = d0;
                                          o_out[i].y = d1;
                                  } else {
                                          d = 1.0 - d2_w * (x * x + y * y);
                                          o_out[i].x = x * d + d0;
                                          o_out[i].y = y * d + d1;
                                  }
                          }
                          return;
                  }
  
                  
int arParamObserv2Ideal( const double dist_factor[4], const double ox,const double oy,double *ix, double *iy );
parameter: ox
parameter: oy
parameter: ix
parameter: iy @return

  
                  public function observ2Ideal(ox:Number, oy:Number, ix:DoubleValue, iy:DoubleValue):void {
                          var z02:Number;
                          var z0:Number;
                          var p:Number;
                          var q:Number;
                          var z:Number;
                          var px:Number;
                          var py:Number;
                          var opttmp_1:Number;
                          const d0:Number = this._f0;
                          const d1:Number = this._f1;
  
                          px = ox - d0;
                          py = oy - d1;
                          p = this._f2 / 100000000.0;
                          z02 = px * px + py * py;
                          q = z0 = Math.sqrt(z02);
                          // Optimize//q = z0 = Math.sqrt(px*px+ py*py);
  
                          for (var i:int = 1; ; i++) {
                                  if (z0 != 0.0) {
                                          // Optimize opttmp_1
                                          opttmp_1 = p * z02;
                                          z = z0 - ((1.0 - opttmp_1) * z0 - q) / (1.0 - 3.0 * opttmp_1);
                                          px = px * z / z0;
                                          py = py * z / z0;
                                  } else {
                                          px = 0.0;
                                          py = 0.0;
                                          break;
                                  }
                                  if (i == PD_LOOP) {
                                          break;
                                  }
                                  z02 = px * px + py * py;
                                  z0 = Math.sqrt(z02);// Optimize//z0 = Math.sqrt(px*px+ py*py);
                          }
                          ix.value = px / this._f3 + d0;
                          iy.value = py / this._f3 + d1;
                          return;
                  }
  
                  
指定範囲のobserv2Idealをまとめて実行して、結果をo_idealに格納します。
parameter: i_x_coord int[]
parameter: i_y_coord int[]
parameter: i_start coord開始点
parameter: i_num 計算数
parameter: o_ideal 出力バッファ[i_num][2]であること。 double[][]

  
                  public function observ2IdealBatch(i_x_coord:Array, i_y_coord:Array, i_start:int, i_num:int, o_ideal:Array):void {
                          var z02:Number;
                          var z0:Number;
                          var q:Number;
                          var z:Number;
                          var px:Number;
                          var py:Number;
                          var opttmp_1:Number;
                          const d0:Number = this._f0;
                          const d1:Number = this._f1;
                          const d3:Number = this._f3;
                          const p:Number = this._f2 / 100000000.0;
                          
                          var j:int;
                          var i:int;
                          for (j = 0; j < i_num; j++) {
  
                                  px = i_x_coord[i_start + j] - d0;
                                  py = i_y_coord[i_start + j] - d1;
  
                                  z02 = px * px + py * py;
                                  q = z0 = Math.sqrt(z02);
                                  // Optimize//q = z0 = Math.sqrt(px*px+py*py);
  
                                  for (i = 1; ; i++) {
                                          if (z0 != 0.0) {
                                                  // Optimize opttmp_1
                                                  opttmp_1 = p * z02;
                                                  z = z0 - ((1.0 - opttmp_1) * z0 - q) / (1.0 - 3.0 * opttmp_1);
                                                  px = px * z / z0;
                                                  py = py * z / z0;
                                          } else {
                                                  px = 0.0;
                                                  py = 0.0;
                                                  break;
                                          }
                                          if (i == PD_LOOP) {
                                                  break;
                                          }
                                          z02 = px * px + py * py;
                                          z0 = Math.sqrt(z02);// Optimize//z0 = Math.sqrt(px*px+ py*py);
                                  }
                                  o_ideal[j][0] = px / d3 + d0;
                                  o_ideal[j][1] = py / d3 + d1;
                          }
                          return;
                  }        
          }
  }


(C) Æliens 04/09/2009

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