Comment fonctionne la fonction cvHaarDetectObjects ?

bonjour,

je voudrais savoir en détail comment cette fonction effectue des correspondance avec le fichier de cascade. Utilise-t-elle les formes, les histogramme de couleurs, ...?

merci

La bible OpenCV (pour moi) :
http://www.cs.indiana.edu/cgi-pub/ol...te/OpenCVHelp/

Voilà un exemple qui peut t'aider:

Code:

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#include "cv.h" #include "highgui.h"   CvHaarClassifierCascade* load_object_detector( const char* cascade_path ) { return (CvHaarClassifierCascade*)cvLoad( cascade_path ); }   void detect_and_draw_objects( IplImage* image, CvHaarClassifierCascade* cascade, int do_pyramids ) { IplImage* small_image = image; CvMemStorage* storage = cvCreateMemStorage(0); CvSeq* faces; int i, scale = 1;   /* if the flag is specified, down-scale the input image to get a   performance boost w/o loosing quality (perhaps) */ if( do_pyramids ) { small_image = cvCreateImage( cvSize(image->width/2,image->height/2), IPL_DEPTH_8U, 3 ); cvPyrDown( image, small_image, CV_GAUSSIAN_5x5 ); scale = 2; }   /* use the fastest variant */ faces = cvHaarDetectObjects( small_image, cascade, storage, 1.2, 2, CV_HAAR_DO_CANNY_PRUNING );   /* draw all the rectangles */ for( i = 0; i < faces->total; i++ ) { /* extract the rectanlges only */ CvRect face_rect = *(CvRect*)cvGetSeqElem( faces, i, 0 ); cvRectangle( image, cvPoint(face_rect.x*scale,face_rect.y*scale), cvPoint((face_rect.x+face_rect.width)*scale, (face_rect.y+face_rect.height)*scale), CV_RGB(255,0,0), 3 ); }   if( small_image != image ) cvReleaseImage( &small_image ); cvReleaseMemStorage( &storage ); }   /* takes image filename and cascade path from the command line */ int main( int argc, char** argv ) { IplImage* image; if( argc==3 && (image = cvLoadImage( argv[1], 1 )) != 0 ) { CvHaarClassifierCascade* cascade = load_object_detector(argv[2]); detect_and_draw_objects( image, cascade, 1 ); cvNamedWindow( "test", 0 ); cvShowImage( "test", image ); cvWaitKey(0); cvReleaseHaarClassifierCascade( &cascade ); cvReleaseImage( &image ); }   return 0; }

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The function cvHaarDetectObjects finds rectangular regions in the given image that are likely to contain objects the cascade has been trained for and returns those regions as a sequence of rectangles. The function scans the image several times at different scales (see cvSetImagesForHaarClassifierCascade). Each time it considers overlapping regions in the image and applies the classifiers to the regions using cvRunHaarClassifierCascade. It may also apply some heuristics to reduce number of analyzed regions, such as Canny prunning. After it has proceeded and collected the candidate rectangles (regions that passed the classifier cascade), it groups them and returns a sequence of average rectangles for each large enough group. The default parameters (scale_factor=1.1, min_neighbors=3, flags=0) are tuned for accurate yet slow object detection. For a faster operation on real video images the settings are: scale_factor=1.2, min_neighbors=2, flags=CV_HAAR_DO_CANNY_PRUNING, min_size=<minimum possible face size> (for example, ~1/4 to 1/16 of the image area in case of video conferencing).

merci pour l'adresse du site !!! je connaissais pas mais il a l'air super complet avec des explications différentes de la doc openCV c'est parfait tout ça !!!:yaisse2:

merci aussi pour le lien.

ce que je cherche à savoir, c'est comment l'algo "match" les rectangles de l'image qu'il a choisit avec les données de la cascade. se base-t-il sur les couleurs, les formes, les deux, ou autre chose ?