Example #1
0
//--------------------------------------------------------------------------------------------------------
//  function to compute dx, dy and dt for motion estimation
//--------------------------------------------------------------------------------------------------------
void OpticalFlow::getDxs(DImage &imdx, DImage &imdy, DImage &imdt, const DImage &im1, const DImage &im2)
{
	//double gfilter[5]={0.01,0.09,0.8,0.09,0.01};
	//double gfilter[5]={0.02,0.11,0.74,0.11,0.02};
	//double gfilter[5]={0,0,1,0,0};
	if(1)
	{
		//DImage foo,Im;
		//Im.Add(im1,im2);
		//Im.Multiplywith(0.5);
		////foo.imfilter_hv(Im,gfilter,2,gfilter,2);
		//Im.dx(imdx,true);
		//Im.dy(imdy,true);
		//imdt.Subtract(im2,im1);
		DImage Im;
		
		// im1.imfilter_hv(Im1,gfilter,2,gfilter,2);
		// im2.imfilter_hv(Im2,gfilter,2,gfilter,2);
		// Im.copyData(Im1);
		// Im.Multiplywith(0.4);
		// Im.Add(Im2,0.6);
		//Im.Multiplywith(0.5);
		//Im1.copyData(im1);
		//Im2.copyData(im2);
        

        Im.copyData(im2);
    
		Im.dx(imdx,true);
		Im.dy(imdy,true);
		imdt.Subtract(im2,im1);
	}
	else
	{
		// Im1 and Im2 are the smoothed version of im1 and im2
		// DImage Im1,Im2;
		// 
		// im1.imfilter_hv(Im1,gfilter,2,gfilter,2);
		// im2.imfilter_hv(Im2,gfilter,2,gfilter,2);

		//Im1.copyData(im1);
		//Im2.copyData(im2);
    
		// Im2.dx(imdx,true);
		// Im2.dy(imdy,true);
		// imdt.Subtract(Im2,Im1);
	}


	imdx.setDerivative();
	imdy.setDerivative();
	imdt.setDerivative();
}
Example #2
0
//---------------------------------------------------------------------------------------
// function to convert image to feature image
//---------------------------------------------------------------------------------------
void OpticalFlow::im2feature(DImage &imfeature, const DImage &im)
{
	int width=im.width();
	int height=im.height();
	int nchannels=im.nchannels();
	if(nchannels==1)
	{
		imfeature.allocate(im.width(),im.height(),3);
		DImage imdx,imdy;
		im.dx(imdx,true);
		im.dy(imdy,true);
		_FlowPrecision* data=imfeature.data();
		for(int i=0;i<height;i++)
			for(int j=0;j<width;j++)
			{
				int offset=i*width+j;
				data[offset*3]=im.data()[offset];
				data[offset*3+1]=imdx.data()[offset];
				data[offset*3+2]=imdy.data()[offset];
			}
	}
	else if(nchannels==3)
	{
		DImage grayImage;
		im.desaturate(grayImage);

		imfeature.allocate(im.width(),im.height(),5);
		DImage imdx,imdy;
		grayImage.dx(imdx,true);
		grayImage.dy(imdy,true);
		_FlowPrecision* data=imfeature.data();
		for(int i=0;i<height;i++)
			for(int j=0;j<width;j++)
			{
				int offset=i*width+j;
				data[offset*5]=grayImage.data()[offset];
				data[offset*5+1]=imdx.data()[offset];
				data[offset*5+2]=imdy.data()[offset];
				data[offset*5+3]=im.data()[offset*3+1]-im.data()[offset*3];
				data[offset*5+4]=im.data()[offset*3+1]-im.data()[offset*3+2];
			}
	}
	else
		imfeature.copyData(im);
}