人脸特征点检测-于老师算法

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我是靠谱客的博主玩命茉莉，最近开发中收集的这篇文章主要介绍人脸特征点检测-于老师算法，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

最近已经很少看CSDN了。这一年多准备考研，基本上怕是不会再怎么上了。以前有一个http://blog.csdn.net/mr_curry/article/details/51804072 如何快糙好猛的使用Shiqi.Yu老师的公开人脸检测库（附源码）的BLOG，因为于老师的库已经更新了，所以重新写一下吧。
PS：这个库越来越强了，已经可以做人脸关键点检测了。关键点检测可以用于矫正人脸，再也不要用慢的要死的dlib啦~~

转载地址：：http://blog.csdn.net/mr_curry/article/details/65945071

配置

五张图带你解决问题：（X64，Debug）
这里写图片描述

然后你需要把opencv的属性表也引进来：
这里写图片描述

两个方法，加系统变量或者放到和exe同一个文件夹下。加了系统变量后重启一次才生效，所以这里就直接放咯
这里写图片描述

代码

我们直接用FDDB上评测效果最好的函数：facedetect_multiview_reinforce
这里写图片描述

      #include <opencv.hpp>
     #include <facedetect-dll.h>

using namespace cv;
using namespace std;
//define the buffer size. Do not change the size!
#define DETECT_BUFFER_SIZE 0x20000
int main()
{
int * pResults = NULL;
//pBuffer is used in the detection functions.
//If you call functions in multiple threads, please create one buffer for each thread!
unsigned char * pBuffer = (unsigned char *)malloc(DETECT_BUFFER_SIZE);
if (!pBuffer)
{
fprintf(stderr, "Can not alloc buffer.n");
return -1;
}
Mat src = imread("img.jpg");
Mat gray;
cvtColor(src, gray, CV_BGR2GRAY);
int doLandmark = 1;// do landmark detection
pResults = facedetect_multiview_reinforce(pBuffer, (unsigned char*)(gray.ptr(0)), gray.cols, gray.rows, (int)gray.step,
1.2f, 2, 48, 0, doLandmark);
//print the detection results
for (int i = 0; i < (pResults ? *pResults : 0); i++)
{
short * p = ((short*)(pResults + 1)) + 142 * i;
rectangle(src, Rect(p[0], p[1], p[2], p[3]), Scalar(0, 255, 0), 2);
if (doLandmark)
{
for (int j = 0; j < 68; j++)
circle(src, Point((int)p[6 + 2 * j], (int)p[6 + 2 * j + 1]), 1, Scalar(0, 0, 255),2);
}
}
imshow("Show", src);
waitKey(0);
}

效果还是很赞：
这里写图片描述

视频流中的人脸检测代码就是用VideoCapture解析为Mat然后循环检测啊：

#include <opencv.hpp>
#include <facedetect-dll.h>
using namespace cv;
using namespace std;
//define the buffer size. Do not change the size!
#define DETECT_BUFFER_SIZE 0x20000
int main()
{
int * pResults = NULL;
//pBuffer is used in the detection functions.
//If you call functions in multiple threads, please create one buffer for each thread!
unsigned char * pBuffer = (unsigned char *)malloc(DETECT_BUFFER_SIZE);
if (!pBuffer)
{
fprintf(stderr, "Can not alloc buffer.n");
return -1;
}
int doLandmark = 1;// do landmark detection
VideoCapture cap(0);
if (!cap.isOpened()){
cout << "Please check your USB camera's interface num." << endl;
return 0;
}
Mat src;
while (true)
{
cap >> src;
if (!src.empty()){
Mat gray;
cvtColor(src, gray, CV_BGR2GRAY);
pResults = facedetect_multiview_reinforce(pBuffer, (unsigned char*)(gray.ptr(0)), gray.cols, gray.rows, (int)gray.step,
1.2f, 2, 48, 0, 1);
for (int i = 0; i < (pResults ? *pResults : 0); i++)
{
short * p = ((short*)(pResults + 1)) + 142 * i;
rectangle(src, Rect(p[0], p[1], p[2], p[3]), Scalar(0, 255, 0), 2);
if (doLandmark)
{
for (int j = 0; j < 68; j++)
circle(src, Point((int)p[6 + 2 * j], (int)p[6 + 2 * j + 1]), 1, Scalar(0, 0, 255), 2);
}
}
imshow("Show", src);
waitKey(1);
}
}
}