_hand_angle _hand_angle_estimation _hand_angle_prediction _hand_bounding_box _hand_center _hand_center_estimation _hand_center_prediction _hand_contour _hand_convexity_defects _hand_finger_line_origin _hand_fingertips _hand_found _hand_gesture _hand_hull _hand_num_fingers _hand_ROI _hand_rotated_bounding_box _max_circle_incribed_center _max_circle_inscribed_radius _min_enclosing_circle_center _min_enclosing_circle_radius angleControl angleExtraction boundingBoxExtraction centerExtraction contourExtraction defectsExtraction fingerExtraction gestureExtraction getBoundingBox getCenterHand getCenterHandEstimated getCenterHandPredicted getContours getGesture getHandAngle getHandAngleEstimated getHandAnglePredicted getNumFingers HandDescriptor handFound handPalmExtraction kalmanFilterAngle kalmanFilterCenter operator() plotBoundingRectangle plotCenter plotComplexHull plotContours plotConvexityDefects plotFingertips plotHandInterface plotMaxInscribedCircle plotMinEnclosingCircle ROIExtraction update

void HandDescriptor::contourExtraction ( const cv::Mat &  skinMask ) [private] Extract the hand contours from a binary image containing hand candidates. After the contour extraction it filters out the smaller contours, that are likely to be noise, and carries a polygon approximation to reduce the number of points in the contour. Parameters: skinMask Binary image containing the hand candidates, previously filtered by a HandDetector object. { const int epsilon = 1; //-- Max error for polygon approximation //-- Extract skin contours: std::vector<std::vector<cv::Point> > raw_contours; cv::findContours(skinMask, raw_contours, CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE, cv::Point(0,0) ); //-- Filter the contours by size: std::vector<std::vector<cv::Point> > filtered_hand_contours; filterContours( raw_contours, filtered_hand_contours); //-- Set a flag in case no hands have been found: _hand_found = (int) filtered_hand_contours.size() > 0 ; //-- If contour was found, make a aproximation of them: _hand_contour = std::vector<std::vector<cv::Point > >( filtered_hand_contours.size() ); if ( _hand_found ) for( int i = 0; i < filtered_hand_contours.size(); i++) cv::approxPolyDP( filtered_hand_contours[i], _hand_contour[i], epsilon, True ); }