📄 example3.c
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/**********************************************************************Finds the 150 best features in an image and tracks them through the next two images. The sequential mode is set in order to speedprocessing. The features are stored in a feature table, which is thensaved to a text file; each feature list is also written to a PPM file.**********************************************************************/#include <stdlib.h>#include <stdio.h>#include "pnmio.h"#include "klt.h"/* #define REPLACE */#ifdef WIN32
int RunExample3()
#else
int main()
#endif
{ unsigned char *img1, *img2; char fnamein[100], fnameout[100]; KLT_TrackingContext tc; KLT_FeatureList fl; KLT_FeatureTable ft; int nFeatures = 150, nFrames = 10; int ncols, nrows; int i; tc = KLTCreateTrackingContext(); fl = KLTCreateFeatureList(nFeatures); ft = KLTCreateFeatureTable(nFrames, nFeatures); tc->sequentialMode = TRUE; tc->writeInternalImages = FALSE; tc->affineConsistencyCheck = -1; /* set this to 2 to turn on affine consistency check */ img1 = pgmReadFile("img0.pgm", NULL, &ncols, &nrows); img2 = (unsigned char *) malloc(ncols*nrows*sizeof(unsigned char)); KLTSelectGoodFeatures(tc, img1, ncols, nrows, fl); KLTStoreFeatureList(fl, ft, 0); KLTWriteFeatureListToPPM(fl, img1, ncols, nrows, "feat0.ppm"); for (i = 1 ; i < nFrames ; i++) { sprintf(fnamein, "img%d.pgm", i); pgmReadFile(fnamein, img2, &ncols, &nrows); KLTTrackFeatures(tc, img1, img2, ncols, nrows, fl);#ifdef REPLACE KLTReplaceLostFeatures(tc, img2, ncols, nrows, fl);#endif KLTStoreFeatureList(fl, ft, i); sprintf(fnameout, "feat%d.ppm", i); KLTWriteFeatureListToPPM(fl, img2, ncols, nrows, fnameout); } KLTWriteFeatureTable(ft, "features.txt", "%5.1f"); KLTWriteFeatureTable(ft, "features.ft", NULL); KLTFreeFeatureTable(ft); KLTFreeFeatureList(fl); KLTFreeTrackingContext(tc); free(img1); free(img2);
return 0;
}
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