root/as3/FLARToolKit/trunk/src/org/libspark/flartoolkit/detector/SingleDetectSquareCB.as

/* 
 * 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 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.
 *      http://www.libspark.org/wiki/saqoosha/FLARToolKit
 *      <saq(at)saqoosha.net>
 * 
 */
package org.libspark.flartoolkit.detector
{
        import jp.nyatla.nyartoolkit.as3.*;
        import jp.nyatla.nyartoolkit.as3.core.*;
        import jp.nyatla.nyartoolkit.as3.core.match.*;
        import jp.nyatla.nyartoolkit.as3.core.param.*;
        import jp.nyatla.nyartoolkit.as3.core.pickup.*;
        import jp.nyatla.nyartoolkit.as3.core.raster.*;
        import jp.nyatla.nyartoolkit.as3.core.raster.rgb.*;
        import jp.nyatla.nyartoolkit.as3.core.squaredetect.*;
        import jp.nyatla.nyartoolkit.as3.core.types.*;
        
        /**
         * detectMarkerのコールバック関数
         */
        internal class SingleDetectSquareCB implements NyARSquareContourDetector_IDetectMarkerCallback
        {
                //公開プロパティ
                public var confidence:Number;
                public var square:NyARSquare=new NyARSquare();
                public var direction:int;
                
                //参照インスタンス
                private var _ref_raster:INyARRgbRaster;
                //所有インスタンス
                private var _inst_patt:INyARColorPatt;
                private var _deviation_data:NyARMatchPattDeviationColorData;
                private var _match_patt:NyARMatchPatt_Color_WITHOUT_PCA;
                private var __detectMarkerLite_mr:NyARMatchPattResult=new NyARMatchPattResult();
                private var _coordline:NyARCoord2Linear;
                
                public function SingleDetectSquareCB(i_inst_patt:INyARColorPatt,i_ref_code:NyARCode,i_param:NyARParam)
                {
                        this._inst_patt=i_inst_patt;
                        this._deviation_data=new NyARMatchPattDeviationColorData(i_ref_code.getWidth(),i_ref_code.getHeight());
                        this._coordline=new NyARCoord2Linear(i_param.getScreenSize(),i_param.getDistortionFactor());
                        this._match_patt=new NyARMatchPatt_Color_WITHOUT_PCA(i_ref_code);
                        return;
                }
                private var __tmp_vertex:Vector.<NyARIntPoint2d>=NyARIntPoint2d.createArray(4);
                /**
                 * 矩形が見付かるたびに呼び出されます。
                 * 発見した矩形のパターンを検査して、方位を考慮した頂点データを確保します。
                 */
                public function onSquareDetect(i_sender:NyARSquareContourDetector,i_coordx:Vector.<int>,i_coordy:Vector.<int>,i_coor_num:int,i_vertex_index:Vector.<int>):void
                {
                        var i:int;
                        var mr:NyARMatchPattResult=this.__detectMarkerLite_mr;
                        //輪郭座標から頂点リストに変換
                        var vertex:Vector.<NyARIntPoint2d>=this.__tmp_vertex;
                        vertex[0].x=i_coordx[i_vertex_index[0]];
                        vertex[0].y=i_coordy[i_vertex_index[0]];
                        vertex[1].x=i_coordx[i_vertex_index[1]];
                        vertex[1].y=i_coordy[i_vertex_index[1]];
                        vertex[2].x=i_coordx[i_vertex_index[2]];
                        vertex[2].y=i_coordy[i_vertex_index[2]];
                        vertex[3].x=i_coordx[i_vertex_index[3]];
                        vertex[3].y=i_coordy[i_vertex_index[3]];
                        
                        //画像を取得
                        if (!this._inst_patt.pickFromRaster(this._ref_raster,vertex)){
                                return;
                        }
                        //取得パターンをカラー差分データに変換して評価する。
                        this._deviation_data.setRaster(this._inst_patt);
                        if(!this._match_patt.evaluate(this._deviation_data,mr)){
                                return;
                        }
                        //現在の一致率より低ければ終了
                        if (this.confidence > mr.confidence){
                                return;
                        }
                        //一致率の高い矩形があれば、方位を考慮して頂点情報を作成
                        var sq:NyARSquare=this.square;
                        this.confidence = mr.confidence;
                        this.direction = mr.direction;
                        //directionを考慮して、squareを更新する。
                        for(i=0;i<4;i++){
                                var idx:int=(i+4 - mr.direction) % 4;
                                this._coordline.coord2Line(i_vertex_index[idx],i_vertex_index[(idx+1)%4],i_coordx,i_coordy,i_coor_num,sq.line[i]);
                        }
                        for (i = 0; i < 4; i++) {
                                //直線同士の交点計算
                                if(!NyARLinear.crossPos(sq.line[i],sq.line[(i + 3) % 4],sq.sqvertex[i])){
                                        throw new NyARException();//ここのエラー復帰するならダブルバッファにすればOK
                                }
                        }
                }
                public function init(i_raster:INyARRgbRaster):void
                {
                        this.confidence=0;
                        this._ref_raster=i_raster;
                        
                }
        }
}