example2.c

学习跟踪的好程序

/**********************************************************************
Finds the 100 best features in an image, tracks these
features to the next image, and replaces the lost features with new
features in the second image.  Saves the feature
locations (before and after tracking) to text files and to PPM files.
**********************************************************************/

#include "pnmio.h"
#include "klt.h"

void main()
{
  unsigned char *img1, *img2;
  KLT_TrackingContext tc;
  KLT_FeatureList fl;
  int nFeatures = 100;
  int ncols, nrows;

  tc = KLTCreateTrackingContext();
  fl = KLTCreateFeatureList(nFeatures);

  img1 = pgmReadFile("img0.pgm", NULL, &ncols, &nrows);
  img2 = pgmReadFile("img1.pgm", NULL, &ncols, &nrows);

  KLTSelectGoodFeatures(tc, img1, ncols, nrows, fl);

  KLTWriteFeatureListToPPM(fl, img1, ncols, nrows, "feat1.ppm");
  KLTWriteFeatureList(fl, "feat1.txt", "%3d");

  KLTTrackFeatures(tc, img1, img2, ncols, nrows, fl);
  KLTReplaceLostFeatures(tc, img2, ncols, nrows, fl);

  KLTWriteFeatureListToPPM(fl, img2, ncols, nrows, "feat2.ppm");
  KLTWriteFeatureList(fl, "feat2.txt", "%3d");
}