kbdaretrieval.cpp

使用KernelBDA实现三维模型相关反馈的算法注：1、使用本系统必须在本地计算机上安装matlab 2、算法使用的三维模型特征向量是从PSB模型库中自动提取的DESIRE三维模型特征向量 3、本

// KBDAretrieval.cpp : 定义控制台应用程序的入口点。
//

#include "stdafx.h"
#include "KBDAretrieval.h"
#include "ProcessControl.h"
#include "MatrixCompute.h"
#ifdef _DEBUG
#define new DEBUG_NEW
#endif


// 唯一的应用程序对象
extern int numofoneclass[MAXCLASSNUM];
extern int allclassobjectmembers[MAXCLASSNUM][MAXOBJECTNUM];
extern int positivenum;
extern int negativenum;
extern int pandnnum;
extern int round;

CWinApp theApp;

using namespace std;

int _tmain(int argc, TCHAR* argv[], TCHAR* envp[])
{
	int nRetCode = 0;

	// 初始化 MFC 并在失败时显示错误
	if (!AfxWinInit(::GetModuleHandle(NULL), NULL, ::GetCommandLine(), 0))
	{
		// TODO: 更改错误代码以符合您的需要
		_tprintf(_T("致命错误: MFC 初始化失败\n"));
		nRetCode = 1;
	}
	else
	{
		// TODO: 在此处为应用程序的行为编写代码。
		CProcessControl processcontrolobject;

		processcontrolobject.readalllabelsfromfile("train.txt");
		processcontrolobject.readallfeaturesfromfile("featuresinfile.txt");

		cout<<"Load Complete!"<<endl;

		CMatrixCompute matrixcomputeobject;

		cout<<"Kernel Matrix Compute Complete!"<<endl;

		int classnum = 0,objectpos = 0;
		for (classnum=0;classnum<MAXCLASSNUM;classnum++)//对所有类遍历
		{
			for (objectpos=0;objectpos<numofoneclass[classnum];objectpos++)//对类中模型遍历
			{
				processcontrolobject.firstcomputedistance(allclassobjectmembers[classnum][objectpos]);

				pandnnum = 0;
				positivenum = 0;
				negativenum = 0;

                for (round=0;round<ROUNDNUM;round++)
                {
					processcontrolobject.labelretrieval(classnum);
					matrixcomputeobject.computeKx();
					matrixcomputeobject.computeKy();
					matrixcomputeobject.computeSbSw();
					matrixcomputeobject.computetransformmatrix();
					matrixcomputeobject.computenewfeaturematrix();
                    processcontrolobject.newcomputedistance(allclassobjectmembers[classnum][objectpos]);

                }


				cout<<allclassobjectmembers[classnum][objectpos]<<endl;

			}

		}
		

	}

	return nRetCode;
}