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/*
* JSARToolkit
* --------------------------------------------------------------------------------
* 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/
*
* And the NyARToolkitAS3 ARToolKit class library.
* Copyright (C)2010 Ryo Iizuka
*
* JSARToolkit is a JavaScript port of NyARToolkitAS3.
* Copyright (C)2010 Ilmari Heikkinen
*
* 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 3 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 program. If not, see <http://www.gnu.org/licenses/>.
*
* For further information please contact.
* ilmari.heikkinen@gmail.com
*
*/
NyARMatchPattDeviationBlackWhiteData = ASKlass('NyARMatchPattDeviationBlackWhiteData',
{
_data : null,
_pow : 0,
//
_number_of_pixels : 0,
refData : function()
{
return this._data;
}
,getPow : function()
{
return this._pow;
}
,NyARMatchPattDeviationBlackWhiteData : function(i_width,i_height)
{
this._number_of_pixels=i_height*i_width;
this._data=new IntVector(this._number_of_pixels);
return;
}
/**
* XRGB[width*height]の配列から、パターンデータを構築。
* @param i_buffer
*/
,setRaster : function(i_raster)
{
//i_buffer[XRGB]→差分[BW]変換
var i;
var ave;//<PV/>
var rgb;//<PV/>
var linput=this._data;//<PV/>
var buf=(i_raster.getBuffer());
// input配列のサイズとwhも更新// input=new int[height][width][3];
var number_of_pixels=this._number_of_pixels;
//<平均値計算(FORの1/8展開)/>
ave = 0;
for(i=number_of_pixels-1;i>=0;i--){
rgb = buf[i];
ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);
}
ave=(number_of_pixels*255*3-ave)/(3*number_of_pixels);
//
var sum = 0,w_sum;
//<差分値計算/>
for (i = number_of_pixels-1; i >= 0;i--) {
rgb = buf[i];
w_sum =((255*3-(rgb & 0xff)-((rgb >> 8) & 0xff)-((rgb >> 16) & 0xff))/3)-ave;
linput[i] = w_sum;
sum += w_sum * w_sum;
}
var p=Math.sqrt(sum);
this._pow=p!=0.0?p:0.0000001;
return;
}
})
NyARMatchPattDeviationColorData = ASKlass('NyARMatchPattDeviationColorData',
{
_data : null,
_pow : 0,
//
_number_of_pixels : 0,
_optimize_for_mod : 0,
refData : function()
{
return this._data;
}
,getPow : function()
{
return this._pow;
}
,NyARMatchPattDeviationColorData : function(i_width,i_height)
{
this._number_of_pixels=i_height*i_width;
this._data=new IntVector(this._number_of_pixels*3);
this._optimize_for_mod=this._number_of_pixels-(this._number_of_pixels%8);
return;
}
/**
* NyARRasterからパターンデータをセットします。
* 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。
* @param i_buffer
*/
,setRaster : function(i_raster)
{
//画素フォーマット、サイズ制限
NyAS3Utils.assert(i_raster.isEqualBufferType(NyARBufferType.INT1D_X8R8G8B8_32));
NyAS3Utils.assert(i_raster.getSize().isEqualSize_NyARIntSize(i_raster.getSize()));
var buf=(i_raster.getBuffer());
//i_buffer[XRGB]→差分[R,G,B]変換
var i;
var ave;//<PV/>
var rgb;//<PV/>
var linput=this._data;//<PV/>
// input配列のサイズとwhも更新// input=new int[height][width][3];
var number_of_pixels=this._number_of_pixels;
var for_mod=this._optimize_for_mod;
//<平均値計算(FORの1/8展開)>
ave = 0;
for(i=number_of_pixels-1;i>=for_mod;i--){
rgb = buf[i];ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);
}
for (;i>=0;) {
rgb = buf[i];ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);i--;
rgb = buf[i];ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);i--;
rgb = buf[i];ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);i--;
rgb = buf[i];ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);i--;
rgb = buf[i];ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);i--;
rgb = buf[i];ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);i--;
rgb = buf[i];ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);i--;
rgb = buf[i];ave += ((rgb >> 16) & 0xff) + ((rgb >> 8) & 0xff) + (rgb & 0xff);i--;
}
//<平均値計算(FORの1/8展開)/>
ave=number_of_pixels*255*3-ave;
ave =255-(ave/ (number_of_pixels * 3));//(255-R)-ave を分解するための事前計算
var sum = 0,w_sum;
var input_ptr=number_of_pixels*3-1;
//<差分値計算(FORの1/8展開)>
for (i = number_of_pixels-1; i >= for_mod;i--) {
rgb = buf[i];
w_sum = (ave - (rgb & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//B
w_sum = (ave - ((rgb >> 8) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//G
w_sum = (ave - ((rgb >> 16) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//R
}
for (; i >=0;) {
rgb = buf[i];i--;
w_sum = (ave - (rgb & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//B
w_sum = (ave - ((rgb >> 8) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//G
w_sum = (ave - ((rgb >> 16) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//R
rgb = buf[i];i--;
w_sum = (ave - (rgb & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//B
w_sum = (ave - ((rgb >> 8) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//G
w_sum = (ave - ((rgb >> 16) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//R
rgb = buf[i];i--;
w_sum = (ave - (rgb & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//B
w_sum = (ave - ((rgb >> 8) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//G
w_sum = (ave - ((rgb >> 16) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//R
rgb = buf[i];i--;
w_sum = (ave - (rgb & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//B
w_sum = (ave - ((rgb >> 8) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//G
w_sum = (ave - ((rgb >> 16) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//R
rgb = buf[i];i--;
w_sum = (ave - (rgb & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//B
w_sum = (ave - ((rgb >> 8) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//G
w_sum = (ave - ((rgb >> 16) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//R
rgb = buf[i];i--;
w_sum = (ave - (rgb & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//B
w_sum = (ave - ((rgb >> 8) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//G
w_sum = (ave - ((rgb >> 16) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//R
rgb = buf[i];i--;
w_sum = (ave - (rgb & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//B
w_sum = (ave - ((rgb >> 8) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//G
w_sum = (ave - ((rgb >> 16) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//R
rgb = buf[i];i--;
w_sum = (ave - (rgb & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//B
w_sum = (ave - ((rgb >> 8) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//G
w_sum = (ave - ((rgb >> 16) & 0xff)) ;linput[input_ptr--] = w_sum;sum += w_sum * w_sum;//R
}
//<差分値計算(FORの1/8展開)/>
var p=Math.sqrt(sum);
this._pow=p!=0.0?p:0.0000001;
return;
}
})
NyARMatchPattResult = ASKlass('NyARMatchPattResult',
{
DIRECTION_UNKNOWN : -1,
confidence : 0,
direction : 0
})
/**
* ARToolKitのマーカーコードを1個保持します。
*
*/
NyARCode = ASKlass('NyARCode',
{
_color_pat : new Array(4),
_bw_pat : new Array(4),
_width : 0,
_height : 0,
NyARCode : function(i_width, i_height)
{
this._width = i_width;
this._height = i_height;
//空のラスタを4個作成
for(var i=0;i<4;i++){
this._color_pat[i]=new NyARMatchPattDeviationColorData(i_width,i_height);
this._bw_pat[i]=new NyARMatchPattDeviationBlackWhiteData(i_width,i_height);
}
return;
}
,getColorData : function(i_index)
{
return this._color_pat[i_index];
}
,getBlackWhiteData : function(i_index)
{
return this._bw_pat[i_index];
}
,getWidth : function()
{
return this._width;
}
,getHeight : function()
{
return this._height;
}
,loadARPattFromFile : function(i_stream)
{
NyARCodeFileReader.loadFromARToolKitFormFile(i_stream,this);
return;
}
,setRaster : function(i_raster)
{
NyAS3Utils.assert(i_raster.length!=4);
//ラスタにパターンをロードする。
for(var i=0;i<4;i++){
this._color_pat[i].setRaster(i_raster[i]);
}
return;
}
})
NyARCodeFileReader = ASKlass('NyARCodeFileReader',
{
/**
* ARコードファイルからデータを読み込んでo_codeに格納します。
* @param i_stream
* @param o_code
* @throws NyARException
*/
loadFromARToolKitFormFile : function(i_stream,o_code)
{
var width=o_code.getWidth();
var height=o_code.getHeight();
var tmp_raster=new NyARRaster(width,height,NyARBufferType.INT1D_X8R8G8B8_32);
//4個の要素をラスタにセットする。
var token = i_stream.match(/\d+/g);
var buf=(tmp_raster.getBuffer());
//GBRAで一度読みだす。
for (var h = 0; h < 4; h++){
this.readBlock(token,width,height,buf);
//ARCodeにセット(カラー)
o_code.getColorData(h).setRaster(tmp_raster);
o_code.getBlackWhiteData(h).setRaster(tmp_raster);
}
tmp_raster=null;//ポイ
return;
}
/**
* 1ブロック分のXRGBデータをi_stからo_bufへ読みだします。
* @param i_st
* @param o_buf
*/
,readBlock : function(i_st, i_width, i_height, o_buf)
{
var pixels = i_width * i_height;
var i3;
for (i3 = 0; i3 < 3; i3++) {
for (var i2 = 0; i2 < pixels; i2++){
// 数値のみ読み出す
var val = parseInt(i_st.shift());
if(isNaN(val)){
throw new NyARException("syntax error in pattern file.");
}
o_buf[i2]=(o_buf[i2]<<8)|((0x000000ff&toInt(val)));
}
}
//GBR→RGB
for(i3=0;i3<pixels;i3++){
o_buf[i3]=((o_buf[i3]<<16)&0xff0000)|(o_buf[i3]&0x00ff00)|((o_buf[i3]>>16)&0x0000ff);
}
return;
}
})
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