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Contour of hand found. Area of the hand found. Saving revision.
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#include "SkeletonSensor.h" | |||
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// openCV | |||
#include <opencv/highgui.h> | |||
#include <opencv/cv.h> | |||
using namespace cv; | |||
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#include <iostream> | |||
using namespace std; | |||
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// globals | |||
SkeletonSensor* sensor; | |||
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const unsigned int XRES = 640; | |||
const unsigned int YRES = 480; | |||
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const float DEPTH_SCALE_FACTOR = 255./4096.; | |||
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// defines the value about which thresholding occurs | |||
const unsigned int BIN_THRESH_OFFSET = 5; | |||
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// defines the value about witch the region of interest is extracted | |||
const unsigned int ROI_OFFSET = 70; | |||
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int main(int argc, char** argv) | |||
{ | |||
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// initialize the kinect | |||
sensor = new SkeletonSensor(); | |||
sensor->initialize(); | |||
sensor->setPointModeToProjective(); | |||
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Mat depthRaw(YRES, XRES, CV_16UC1); | |||
Mat depthShow(YRES, XRES, CV_8UC1); | |||
//Mat rightHand(ROI_OFFSET*2, ROI_OFFSET*2, CV_8UC1); // hand processing | |||
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// rectangle used to extract hand regions from depth map | |||
Rect roi; | |||
roi.width = ROI_OFFSET*2; | |||
roi.height = ROI_OFFSET*2; | |||
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namedWindow("depthFrame", CV_WINDOW_AUTOSIZE); | |||
namedWindow("handFrame", CV_WINDOW_AUTOSIZE); | |||
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int key = 0; | |||
while(key != 27 && key != 'q') | |||
{ | |||
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sensor->waitForDeviceUpdateOnUser(); | |||
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int handDepth; | |||
if(sensor->getNumTrackedUsers() > 0) | |||
{ | |||
Skeleton skel = sensor->getSkeleton(sensor->getUID(0)); | |||
SkeletonPoint rightHand = skel.rightHand; | |||
if(rightHand.confidence == 1.0) | |||
{ | |||
handDepth = rightHand.z * (DEPTH_SCALE_FACTOR); | |||
roi.x = rightHand.x - ROI_OFFSET; | |||
roi.y = rightHand.y - ROI_OFFSET; | |||
//printf("Hand depth = %d\n", handDepth); | |||
} | |||
} | |||
else | |||
handDepth = -1; | |||
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// update 16 bit depth matrix | |||
memcpy(depthRaw.data, sensor->getDepthData(), XRES*YRES*2); | |||
depthRaw.convertTo(depthShow, CV_8U, DEPTH_SCALE_FACTOR); | |||
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// extract hand from image | |||
Mat rightHandCpy(depthShow, roi); | |||
Mat rightHand = rightHandCpy.clone(); | |||
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// binary threshold | |||
if(handDepth != -1) | |||
rightHand = (rightHand > (handDepth - BIN_THRESH_OFFSET)) & (rightHand < (handDepth + BIN_THRESH_OFFSET)); | |||
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// create debug image of thresholded hand | |||
Mat rightHandDebug = rightHand.clone(); | |||
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std::vector< std::vector<Point> > contours; | |||
findContours(rightHand, contours, CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE); | |||
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if (contours.size()) { | |||
for (int i = 0; i < contours.size(); i++) { | |||
vector<Point> contour = contours[i]; | |||
Mat contourMat = Mat(contour); | |||
double area = contourArea(contourMat); | |||
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if(area > 2000) // likely the hand | |||
{ | |||
printf("Area of contour[%d] = %f\n", i, area); | |||
} | |||
} | |||
} | |||
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imshow("depthFrame", depthShow); | |||
imshow("handFrame", rightHandDebug); | |||
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key = waitKey(10); | |||
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} | |||
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delete sensor; | |||
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return 0; | |||
} |