📄 nyarcameradistortionfactor.java
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/*
* PROJECT: NyARToolkit
* --------------------------------------------------------------------------------
* This work is based on the original ARToolKit developed by
* Hirokazu Kato
* Mark Billinghurst
* HITLab, University of Washington, Seattle
* http://www.hitl.washington.edu/artoolkit/
*
* The NyARToolkit is Java version ARToolkit class library.
* Copyright (C)2008 R.Iizuka
*
* 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://nyatla.jp/nyatoolkit/
* <airmail(at)ebony.plala.or.jp>
*
*/
package jp.nyatla.nyartoolkit.core.param;
import jp.nyatla.nyartoolkit.core.types.NyARDoublePoint2d;
/**
* 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
*/
public class NyARCameraDistortionFactor implements INyARCameraDistortionFactor
{
private static final int PD_LOOP = 3;
private double _f0;//x0
private double _f1;//y0
private double _f2;//100000000.0*f
private double _f3;//s
public void copyFrom(NyARCameraDistortionFactor i_ref)
{
this._f0=i_ref._f0;
this._f1=i_ref._f1;
this._f2=i_ref._f2;
this._f3=i_ref._f3;
return;
}
/**
* 配列の値をファクタ値としてセットする。
* @param i_factor
* 4要素以上の配列
*/
public void setValue(double[] i_factor)
{
this._f0=i_factor[0];
this._f1=i_factor[1];
this._f2=i_factor[2];
this._f3=i_factor[3];
return;
}
public void getValue(double[] o_factor)
{
o_factor[0]=this._f0;
o_factor[1]=this._f1;
o_factor[2]=this._f2;
o_factor[3]=this._f3;
return;
}
public void changeScale(double i_scale)
{
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
*
* @param i_in
* @param o_out
*/
public void ideal2Observ(final NyARDoublePoint2d i_in, NyARDoublePoint2d o_out)
{
final double x = (i_in.x - this._f0) * this._f3;
final double y = (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 {
final double d = 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。
* @param i_in
* @param o_out
*/
public void ideal2ObservBatch(final NyARDoublePoint2d[] i_in, NyARDoublePoint2d[] o_out, int i_size)
{
double x, y;
final double d0 = this._f0;
final double d1 = this._f1;
final double d3 = this._f3;
final double d2_w = this._f2 / 100000000.0;
for (int i = 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 {
final double 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 );
*
* @param ix
* @param iy
* @param ix
* @param iy
* @return
*/
public void observ2Ideal(double ix, double iy, NyARDoublePoint2d o_point)
{
double z02, z0, p, q, z, px, py, opttmp_1;
final double d0 = this._f0;
final double d1 = this._f1;
px = ix - d0;
py = iy - 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 (int 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_point.x = px / this._f3 + d0;
o_point.y = 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。
* @param i_x_coord
* @param i_y_coord
* @param i_start
* coord開始点
* @param i_num
* 計算数
* @param o_ideal
* 出力バッファ[i_num][2]であること。
*/
public void observ2IdealBatch(int[] i_x_coord, int[] i_y_coord,int i_start, int i_num, double[] o_x_coord,double[] o_y_coord)
{
double z02, z0, q, z, px, py, opttmp_1;
final double d0 = this._f0;
final double d1 = this._f1;
final double d3 = this._f3;
final double p = this._f2 / 100000000.0;
for (int 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 (int 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_x_coord[j] = px / d3 + d0;
o_y_coord[j] = py / d3 + d1;
}
return;
}
}
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