Face Detect base OpenCV

最新推荐文章于 2024-04-22 14:00:17 发布

翻译最新推荐文章于 2024-04-22 14:00:17 发布 · 3k 阅读

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#Face Detect OpenCV

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本文介绍了一种基于OpenCV的人脸检测方法，并详细解析了关键函数cvHaarDetectObjects的参数及其作用，通过示例代码展示了如何进行人脸检测。

1. Face Detect

待提取

2. Code

#include "FaceDetect.h"
using namespace std;
int main(void)
{
	// variables
	IplImage * pInpImg = 0;
	CvHaarClassifierCascade * pCascade = 0;  // the face detector
	CvMemStorage * pStorage = 0;        // memory for detector to use
	CvSeq * pFaceRectSeq;               // memory-access interface

	char ImageFilename[]="AKB48.jpg";

	// initializations
	pInpImg = cvLoadImage(ImageFilename, CV_LOAD_IMAGE_COLOR);
	pStorage = cvCreateMemStorage(0);
	pCascade = (CvHaarClassifierCascade *)cvLoad(("data/haarcascades/haarcascade_frontalface_default.xml"),0, 0, 0);

	// validate that everything initialized properly
	if (!pInpImg || !pStorage || !pCascade)
	{
		printf("Initialization failed: %s\n",
			(!pInpImg) ? "can't load image file" :
			(!pCascade) ? "can't load haar-cascade -- "
			"make sure path is correct" :
			"unable to allocate memory for data storage", ImageFilename);
		exit(-1);
	}

	pFaceRectSeq = cvHaarDetectObjects
		(pInpImg, pCascade, pStorage,
		1.1,                       // increase search scale by 10% each pass
		3,                         // merge groups of three detections
		CV_HAAR_DO_CANNY_PRUNING,  // skip regions unlikely to contain a face
		cvSize(200, 200), cvSize(300, 300));  // smallest size face to detect = 40x40,largest size face 使用默认；忽略；


	// display detected faces
	displayDetections(pInpImg, pFaceRectSeq);

	// clean up and release resources
	cvReleaseImage(&pInpImg);
	if (pCascade) cvReleaseHaarClassifierCascade(&pCascade);
	if (pStorage) cvReleaseMemStorage(&pStorage);

	return 0;
}


void displayDetections(IplImage * pInpImg, CvSeq * pFaceRectSeq)
{
	const char * DISPLAY_WINDOW = "Haar Window";
	int i;

	// create a window to display detected faces
	cvNamedWindow(DISPLAY_WINDOW, CV_WINDOW_AUTOSIZE);

	// draw a rectangular outline around each detection
	for (i = 0; i<(pFaceRectSeq ? pFaceRectSeq->total : 0); i++)
	{
		CvRect* r = (CvRect*)cvGetSeqElem(pFaceRectSeq, i);
		CvPoint pt1 = { r->x, r->y };
		CvPoint pt2 = { r->x + r->width, r->y + r->height };
		cvRectangle(pInpImg, pt1, pt2, CV_RGB(0, 255, 0), 3, 4, 0);
	}

	// display face detections
	cvShowImage(DISPLAY_WINDOW, pInpImg);
	cvWaitKey(0);
	cvDestroyWindow(DISPLAY_WINDOW);
}

效果如下：