人脸特征点检测-于老师算法

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） 

然后你需要把opencv的属性表也引进来： 

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 

代码

我们直接用FDDB上评测效果最好的函数：facedetect_multiview_reinforce 

1. #include <opencv.hpp>

2. #include <facedetect-dll.h>

3. using namespace cv;

4. using namespace std;

5.  

6. //define the buffer size. Do not change the size!

7. #define DETECT_BUFFER_SIZE 0x20000

8.  

9. int main()

10. {

11. int * pResults = NULL;

12. //pBuffer is used in the detection functions.

13. //If you call functions in multiple threads, please create one buffer for each thread!

14. unsigned char * pBuffer = (unsigned char *)malloc(DETECT_BUFFER_SIZE);

15. if (!pBuffer)

16. {

17. fprintf(stderr, "Can not alloc buffer.\n");

18. return -1;

19. }

20. Mat src = imread("img.jpg");

21. Mat gray;

22. cvtColor(src, gray, CV_BGR2GRAY);

23. int doLandmark = 1;// do landmark detection

24. pResults = facedetect_multiview_reinforce(pBuffer, (unsigned char*)(gray.ptr(0)), gray.cols, gray.rows, (int)gray.step,

25. 1.2f, 2, 48, 0, doLandmark);

26. //print the detection results

27. for (int i = 0; i < (pResults ? *pResults : 0); i++)

28. {

29. short * p = ((short*)(pResults + 1)) + 142 * i;

30. rectangle(src, Rect(p[0], p[1], p[2], p[3]), Scalar(0, 255, 0), 2);

31. if (doLandmark)

32. {

33. for (int j = 0; j < 68; j++)

34. circle(src, Point((int)p[6 + 2 * j], (int)p[6 + 2 * j + 1]), 1, Scalar(0, 0, 255),2);

35. }

36. }

37. imshow("Show", src);

38. waitKey(0);

39. }

效果还是很赞： 

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：

1. #include <opencv.hpp>

2. #include <facedetect-dll.h>

3. using namespace cv;

4. using namespace std;

5.  

6. //define the buffer size. Do not change the size!

7. #define DETECT_BUFFER_SIZE 0x20000

8.  

9. int main()

10. {

11. int * pResults = NULL;

12. //pBuffer is used in the detection functions.

13. //If you call functions in multiple threads, please create one buffer for each thread!

14. unsigned char * pBuffer = (unsigned char *)malloc(DETECT_BUFFER_SIZE);

15. if (!pBuffer)

16. {

17. fprintf(stderr, "Can not alloc buffer.\n");

18. return -1;

19. }

20. int doLandmark = 1;// do landmark detection

21. VideoCapture cap(0);

22. if (!cap.isOpened()){

23. cout << "Please check your USB camera's interface num." << endl;

24. return 0;

25. }

26. Mat src;

27. while (true)

28. {

29. cap >> src;

30. if (!src.empty()){

31. Mat gray;

32. cvtColor(src, gray, CV_BGR2GRAY);

33. pResults = facedetect_multiview_reinforce(pBuffer, (unsigned char*)(gray.ptr(0)), gray.cols, gray.rows, (int)gray.step,

34. 1.2f, 2, 48, 0, 1);

35. for (int i = 0; i < (pResults ? *pResults : 0); i++)

36. {

37. short * p = ((short*)(pResults + 1)) + 142 * i;

38. rectangle(src, Rect(p[0], p[1], p[2], p[3]), Scalar(0, 255, 0), 2);

39. if (doLandmark)

40. {

41. for (int j = 0; j < 68; j++)

42. circle(src, Point((int)p[6 + 2 * j], (int)p[6 + 2 * j + 1]), 1, Scalar(0, 0, 255), 2);

43. }

44. }

45. imshow("Show", src);

46. waitKey(1);

47. }

48.  

49. }

50. }