15 #include <mrpt/otherlibs/do_opencv_includes.h> 32 unsigned int nDesiredFeatures,
43 const unsigned int MAX_COUNT = 300;
54 const cv::Mat
img( cv::cvarrToMat( inImg.
getAs<IplImage>() ) );
57 cout <<
"[KLT] Attach: " << tictac.
Tac()*1000.0f << endl;
60 const cv::Mat cGrey( cv::cvarrToMat( inImg_gray.
getAs<IplImage>() ) );
62 nDesiredFeatures <= 0 ? nPts = MAX_COUNT : nPts = nDesiredFeatures;
69 cout <<
"[KLT] Create: " << tictac.
Tac()*1000.0f << endl;
76 const bool use_harris = ( options.featsType ==
featHarris );
81 std::vector<cv::Point2f>
points;
82 cv::goodFeaturesToTrack(
84 (
double)options.harrisOptions.threshold,
85 (
double)options.harrisOptions.min_distance,
89 options.harrisOptions.k
92 cout <<
"[KLT] Find feats: " << tictac.
Tac()*1000.0f << endl;
95 if( nDesiredFeatures > 0 &&
count < nPts )
96 cout <<
"\n[WARNING][selectGoodFeaturesKLT]: Only " <<
count <<
" of " << nDesiredFeatures <<
" points could be extracted in the image." << endl;
98 if( options.FIND_SUBPIXEL )
100 #ifdef VERBOSE_TIMING 104 cv::cornerSubPix(cGrey,
points,
105 cv::Size(3,3), cv::Size(-1,-1),
106 cv::TermCriteria( CV_TERMCRIT_ITER|CV_TERMCRIT_EPS, 10, 0.05 ));
108 #ifdef VERBOSE_TIMING 109 cout <<
"[KLT] subpixel: " << tictac.
Tac()*1000.0f << endl;
116 #ifdef VERBOSE_TIMING 121 unsigned int borderFeats = 0;
122 unsigned int nCFeats = init_ID;
125 int offset = (int)this->options.patchSize/2 + 1;
127 unsigned int imgW = inImg.
getWidth();
131 const int xBorderInf = (int)floor(
points[i].
x - options.patchSize/2 );
132 const int xBorderSup = (int)floor(
points[i].
x + options.patchSize/2 );
133 const int yBorderInf = (int)floor(
points[i].
y - options.patchSize/2 );
134 const int yBorderSup = (int)floor(
points[i].
y + options.patchSize/2 );
136 if( options.patchSize==0 || ( (xBorderSup < (
int)imgW) && (xBorderInf > 0) && (yBorderSup < (int)imgH) && (yBorderInf > 0) ) )
146 ft->patchSize = options.patchSize;
148 if( options.patchSize > 0 )
167 #ifdef VERBOSE_TIMING 168 cout <<
"[KLT] Create output: " << tictac.
Tac()*1000.0f << endl;
173 THROW_EXCEPTION(
"The MRPT has been compiled with MRPT_HAS_OPENCV=0 !");
180 MRPT_TODO(
"Delete? Refactor / join to mrpt::vision::CGenericFeatureTracker?")
188 unsigned int nDesiredFeats)
const 202 for( itKLT = inList.
begin(); itKLT != inList.
end(); itKLT++ )
204 int cx = (int)(*itKLT)->x;
205 int cy = (
int)(*itKLT)->y;
208 size_t xxI = max( 0, cx - 15 );
209 size_t xxE =
min( cx + 15,
mask.cols()-1 );
210 size_t yyI = max( 0, cy - 15 );
211 size_t yyE =
min( cy + 15, (
int)
mask.rows()-1 );
213 for(
size_t yy = yyI; yy < yyE; yy++)
214 for(
size_t xx = xxI; xx < xxE; xx++)
215 cvSet2D(
mask, yy, xx, zero );
217 if( (*itKLT)->ID > mxID )
221 selectGoodFeaturesKLT(
img, outList, mxID + 1, nDesiredFeats, &
mask );
223 else if( options.featsType ==
featFAST )
226 extractFeaturesFAST(
img, outList, mxID+1 );
231 for( itInList = inList.
begin(); itInList != inList.
end(); ++itInList )
233 for( itOutList = outList.
begin(); itOutList != outList.
end(); )
235 if( fabs((*itOutList)->x-(*itInList)->x) < 15 || fabs((*itOutList)->y-(*itInList)->y) < 15 )
236 itOutList = outList.
erase( itOutList );
242 if( nDesiredFeats != 0 && outList.
size() > nDesiredFeats )
243 outList.
resize( nDesiredFeats );
253 MRPT_TODO(
"Delete? Is not this a duplicate of extractFeaturesKLT ()???")
258 void CFeatureExtraction::selectGoodFeaturesKLT(
261 unsigned int init_ID,
262 unsigned int nDesiredFeatures)
const 266 size_t imgW =
img.getWidth();
267 size_t imgH =
img.getHeight();
270 ASSERT_( imgH > 0 && imgW > 0 );
271 ASSERT_( ROI.xMin >= 0 && ROI.yMin >= 0 && ROI.xMax < imgW && ROI.yMax < imgH );
274 CvMatrix
mask( imgH, imgW, CV_8UC1 );
275 CvScalar zero = cvRealScalar( 0.0 );
276 CvScalar one = cvRealScalar( 1.0 );
278 if( ROI.xMin == 0 && ROI.xMax == 0 && ROI.yMin == 0 && ROI.yMax == 0 )
280 if( options.patchSize == 0 )
281 selectGoodFeaturesKLT(
img, feats, init_ID, nDesiredFeatures, NULL );
300 size_t border = (options.patchSize-1)/2 + 1;
302 for( xx = 0; xx < imgW; xx++ )
303 for( yy = 0; yy <
border; yy++ )
304 cvSet2D(
mask, yy, xx, zero );
306 for( xx = 0; xx < imgW; xx++ )
307 for( yy = imgH -
border; yy < imgH; yy++ )
308 cvSet2D(
mask, yy, xx, zero );
310 for( xx = 0; xx <
border; xx++ )
312 cvSet2D(
mask, yy, xx, zero ) ;
314 for( xx = imgW -
border; xx < imgW; xx++ )
316 cvSet2D(
mask, yy, xx, zero ) ;
318 selectGoodFeaturesKLT(
img, feats, init_ID, nDesiredFeatures, &
mask );
324 for(
unsigned int xx = ROI.xMin; xx < ROI.xMax; xx++ )
325 for(
unsigned int yy = ROI.yMin; yy < ROI.yMax; yy++ )
326 cvSet2D(
mask, yy, xx, one) ;
328 selectGoodFeaturesKLT(
img, feats, init_ID, nDesiredFeatures, &
mask );
GLuint GLuint GLsizei count
Classes for serialization, sockets, ini-file manipulation, streams, list of properties-values, timewatch, extensions to STL.
This namespace provides a OS-independent interface to many useful functions: filenames manipulation...
A class for storing images as grayscale or RGB bitmaps.
#define THROW_EXCEPTION(msg)
TInternalFeatList::const_iterator const_iterator
Feature correctly tracked.
void Tic()
Starts the stopwatch.
const T * getAs() const
Returns a pointer to a const T* containing the image - the idea is to call like "img.getAs<IplImage>()" so we can avoid here including OpenCV's headers.
GLsizei const GLfloat * points
FAST feature detector, OpenCV's implementation ("Faster and better: A machine learning approach to co...
A structure for defining a ROI within an image.
GLint GLint GLsizei GLsizei GLsizei GLint border
Harris border and corner detector [HARRIS].
This class implements a high-performance stopwatch.
Classes for computer vision, detectors, features, etc.
void push_back(const CFeaturePtr &f)
iterator erase(const iterator &it)
uint64_t TFeatureID
Definition of a feature ID.
A list of visual features, to be used as output by detectors, as input/output by trackers, etc.
This is the global namespace for all Mobile Robot Programming Toolkit (MRPT) libraries.
void extract_patch(CImage &patch, const unsigned int col=0, const unsigned int row=0, const unsigned int width=1, const unsigned int height=1) const
Extract a patch from this image, saveing it into "patch" (its previous contents will be overwritten)...
double Tac()
Stops the stopwatch.
TFeatureID getMaxID() const
Get the maximum ID into the list.
int round(const T value)
Returns the closer integer (int) to x.
TInternalFeatList::iterator iterator
static CFeaturePtr Create()
EIGEN_STRONG_INLINE void ones(const size_t row, const size_t col)
Resize matrix and set all elements to one.
Kanade-Lucas-Tomasi feature [SHI'94].
size_t getWidth() const MRPT_OVERRIDE
Returns the width of the image in pixels.
size_t getHeight() const MRPT_OVERRIDE
Returns the height of the image in pixels.