/*

This program detects image features using SIFT keypoints. For more info,

refer to:



Lowe, D. Distinctive image features from scale-invariant keypoints.

International Journal of Computer Vision, 60, 2 (2004), pp.91--110.



Copyright (C) 2006  Rob Hess <hess@eecs.oregonstate.edu>



Note: The SIFT algorithm is patented in the United States and cannot be

used in commercial products without a license from the University of

British Columbia.  For more information, refer to the file LICENSE.ubc

that accompanied this distribution.



Version: 1.1.1-20070913

*/



#include "sift.h"

#include "imgfeatures.h"

#include "utils.h"



#include <highgui.h>



#include <stdio.h>



/******************************** Globals ************************************/



char* img_file_name = ""; //"..\\beaver.png"; //"..\\amanda.jpg";

char* out_file_name  = ""; //"..\\beaver.sift"; //"..\\amanda.sift";

char* out_img_name = NULL;

int display = 1;

int intvls = SIFT_INTVLS;

double sigma = SIFT_SIGMA;

double contr_thr = SIFT_CONTR_THR;

int curv_thr = SIFT_CURV_THR;

int img_dbl = SIFT_IMG_DBL;

int descr_width = SIFT_DESCR_WIDTH;

int descr_hist_bins = SIFT_DESCR_HIST_BINS;





/********************************** Main *************************************/



int main( int argc, char** argv )

{

	IplImage* img;

	struct feature* features;

	int n = 0;

	

	// Trata argumentos 

	if (argc != 3)

	{

		fprintf( stderr, "Wrong number of arguments. Two arguments are expected: image file and features output file.\n");

		exit( 1 );

	}

	else

	{

		// Trata arquivo de imagem

		img_file_name = argv[1];



		// Trata arquivo de saída das features

		out_file_name = argv[2];

	}



	fprintf( stderr, "Finding SIFT features...\n" );

	img = cvLoadImage( img_file_name, 1 );

	if( ! img )

	{

		fprintf( stderr, "Unable to load image from file %s", img_file_name );

		exit( 1 );

	}

	n = _sift_features( img, &features, intvls, sigma, contr_thr, curv_thr,

						img_dbl, descr_width, descr_hist_bins );

	fprintf( stderr, "Found %d features.\n", n );



	if( display )

	{

		draw_features( img, features, n );

		cvNamedWindow( img_file_name, 1 );

		cvShowImage( img_file_name, img );

		cvWaitKey( 0 );

	}



	if( out_file_name != NULL )

		export_features( out_file_name, features, n );



	if( out_img_name != NULL )

		cvSaveImage( out_img_name, img );

	return 0;

}