2 * PROJECT: NyARToolkit
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3 * --------------------------------------------------------------------------------
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4 * This work is based on the original ARToolKit developed by
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7 * HITLab, University of Washington, Seattle
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8 * http://www.hitl.washington.edu/artoolkit/
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10 * The NyARToolkit is Java edition ARToolKit class library.
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11 * Copyright (C)2008-2009 Ryo Iizuka
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13 * This program is free software: you can redistribute it and/or modify
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14 * it under the terms of the GNU General Public License as published by
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15 * the Free Software Foundation, either version 3 of the License, or
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16 * (at your option) any later version.
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18 * This program is distributed in the hope that it will be useful,
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19 * but WITHOUT ANY WARRANTY; without even the implied warranty of
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20 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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21 * GNU General Public License for more details.
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23 * You should have received a copy of the GNU General Public License
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24 * along with this program. If not, see <http://www.gnu.org/licenses/>.
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26 * For further information please contact.
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27 * http://nyatla.jp/nyatoolkit/
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28 * <airmail(at)ebony.plala.or.jp> or <nyatla(at)nyatla.jp>
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31 package jp.nyatla.nyartoolkit.core.match;
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34 import jp.nyatla.nyartoolkit.core.raster.*;
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35 import jp.nyatla.nyartoolkit.core.rasterreader.*;
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38 * INyARMatchPattのRGBColor差分データを格納するクラスです。
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41 public class NyARMatchPattDeviationColorData
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43 private int[] _data;
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44 private double _pow;
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46 private int _number_of_pixels;
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47 private int _optimize_for_mod;
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48 public int[] refData()
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52 public double getPow()
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57 public NyARMatchPattDeviationColorData(int i_width,int i_height)
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59 this._number_of_pixels=i_height*i_width;
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60 this._data=new int[this._number_of_pixels*3];
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61 this._optimize_for_mod=this._number_of_pixels-(this._number_of_pixels%8);
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67 * NyARRasterからパターンデータをセットします。
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68 * この関数は、データを元に所有するデータ領域を更新します。
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71 public void setRaster(INyARRaster i_raster)
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74 assert i_raster.getBufferReader().isEqualBufferType(INyARBufferReader.BUFFERFORMAT_INT1D_X8R8G8B8_32);
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75 assert i_raster.getSize().isEqualSize(i_raster.getSize());
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77 final int[] buf=(int[])i_raster.getBufferReader().getBuffer();
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78 //i_buffer[XRGB]→差分[R,G,B]変換
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82 final int[] linput=this._data;//<PV/>
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84 // input配列のサイズとwhも更新// input=new int[height][width][3];
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85 final int number_of_pixels=this._number_of_pixels;
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86 final int for_mod=this._optimize_for_mod;
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88 //<平均値計算(FORの1/8展開)>
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90 for(i=number_of_pixels-1;i>=for_mod;i--){
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91 rgb = buf[i];ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);
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94 rgb = buf[i];ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);i--;
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95 rgb = buf[i];ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);i--;
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96 rgb = buf[i];ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);i--;
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97 rgb = buf[i];ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);i--;
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98 rgb = buf[i];ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);i--;
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99 rgb = buf[i];ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);i--;
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100 rgb = buf[i];ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);i--;
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101 rgb = buf[i];ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);i--;
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103 //<平均値計算(FORの1/8展開)/>
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104 ave=number_of_pixels*255*3-ave;
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105 ave =255-(ave/ (number_of_pixels * 3));//(255-R)-ave を分解するための事前計算
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108 int input_ptr=number_of_pixels*3-1;
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109 //<差分値計算(FORの1/8展開)>
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110 for (i = number_of_pixels-1; i >= for_mod;i--) {
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112 w_sum = (ave - (rgb & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//B
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113 w_sum = (ave - ((rgb >> 8) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//G
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114 w_sum = (ave - ((rgb >> 16) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//R
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118 w_sum = (ave - (rgb & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//B
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119 w_sum = (ave - ((rgb >> 8) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//G
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120 w_sum = (ave - ((rgb >> 16) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//R
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122 w_sum = (ave - (rgb & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//B
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123 w_sum = (ave - ((rgb >> 8) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//G
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124 w_sum = (ave - ((rgb >> 16) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//R
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126 w_sum = (ave - (rgb & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//B
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127 w_sum = (ave - ((rgb >> 8) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//G
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128 w_sum = (ave - ((rgb >> 16) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//R
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130 w_sum = (ave - (rgb & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//B
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131 w_sum = (ave - ((rgb >> 8) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//G
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132 w_sum = (ave - ((rgb >> 16) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//R
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134 w_sum = (ave - (rgb & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//B
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135 w_sum = (ave - ((rgb >> 8) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//G
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136 w_sum = (ave - ((rgb >> 16) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//R
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138 w_sum = (ave - (rgb & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//B
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139 w_sum = (ave - ((rgb >> 8) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//G
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140 w_sum = (ave - ((rgb >> 16) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//R
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142 w_sum = (ave - (rgb & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//B
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143 w_sum = (ave - ((rgb >> 8) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//G
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144 w_sum = (ave - ((rgb >> 16) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//R
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146 w_sum = (ave - (rgb & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//B
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147 w_sum = (ave - ((rgb >> 8) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//G
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148 w_sum = (ave - ((rgb >> 16) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//R
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150 //<差分値計算(FORの1/8展開)/>
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151 final double p=Math.sqrt((double) sum);
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152 this._pow=p!=0.0?p:0.0000001;
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