OpenCV學(xué)習(xí)筆記3找出人臉-同時(shí)比較兩張圖片中的人臉相似度

1、OpenCV學(xué)習(xí)筆記3:找出人臉，同時(shí)比較兩張圖片中的人臉相似度分類：OpenCV2012-11-12 18:505394人閱讀評(píng)論(4)收藏舉報(bào) 終于到了有實(shí)際應(yīng)用的功能了，有2張圖片，里面各有一個(gè)人臉，我的目的是比較這兩個(gè)人臉的相似度，這里用到了facedetect的功能，還有圖像轉(zhuǎn)換，圖像剪切，以及直方圖的比較。具體流程是: 1。分別用facedetect功能將兩張圖片中的人臉檢測(cè)出來(lái) 2。將人臉部分的圖片剪切出來(lái)，存到兩張只有人臉的圖片里。 3。將這兩張人臉圖片轉(zhuǎn)換成單通道的圖像 4。使用直方圖比較這兩張單通道的人臉圖像，得出相似度。 這里對(duì)圖的要求還是比較高的，光線和姿勢(shì)不能有差別，

2、臉的垂直或者左右角度偏差就會(huì)影響比較，但和兩張圖片的大小關(guān)系不大，本人覺(jué)得較適合于證件照的對(duì)比。下面是代碼，其中haarcascade_frontalface_alt.xml是opencv里facedetect例子用的樣本。 比較的是srcImage和targetImage對(duì)應(yīng)的文件.還有下面是IplImage和Mat混用，純當(dāng)熟悉這兩個(gè)類了。cppview plaincopy1. cppview plaincopy1. cppview plaincopy1. #includeopencv/cv.hpp2. #includeopencv2/objdetect/objdetect.hpp3. #

3、includeopencv2/highgui/highgui.hpp4. #includeopencv2/imgproc/imgproc.hpp5. 6. #include7. #include8. 9. usingnamespacestd;10. usingnamespacecv;11. 12. StringcascadeName=D:OpenCV-2.4.2datahaarcascadeshaarcascade_frontalface_alt.xml;13. 14. IplImage*cutImage(IplImage*src,CvRectrect)15. cvSetImageROI(sr

4、c,rect);16. IplImage*dst=cvCreateImage(cvSize(rect.width,rect.height),17. src-depth,18. src-nChannels);19. 20. cvCopy(src,dst,0);21. cvResetImageROI(src);22. returndst;23. 24. 25. IplImage*detect(Mat&img,CascadeClassifier&cascade,doublescale)26. 27. inti=0;28. doublet=0;29. vectorfaces;30. Matgray,s

5、mallImg(cvRound(img.rows/scale),cvRound(img.cols/scale),CV_8UC1);31. 32. cvtColor(img,gray,CV_BGR2GRAY);33. resize(gray,smallImg,smallImg.size(),0,0,INTER_LINEAR);34. equalizeHist(smallImg,smallImg);35. 36. t=(double)cvGetTickCount();37. cascade.detectMultiScale(smallImg,faces,38. 1.3,2,CV_HAAR_SCAL

6、E_IMAGE,39. Size(30,30);40. t=(double)cvGetTickCount()-t;41. printf(detectiontime=%gmsn,t/(double)cvGetTickFrequency()*1000.);42. for(vector:const_iteratorr=faces.begin();r!=faces.end();r+,i+)43. 44. IplImage*temp=cutImage(&(IplImage(img),cvRect(r-x,r-y,r-width,r-height);45. returntemp;46. 47. 48. r

7、eturnNULL;49. 50. /畫直方圖用51. intHistogramBins=256;52. floatHistogramRange12=0,255;53. float*HistogramRange1=&HistogramRange10;54. intCompareHist(IplImage*image1,IplImage*image2)55. 56. IplImage*srcImage;57. IplImage*targetImage;58. if(image1-nChannels!=1)59. srcImage=cvCreateImage(cvSize(image1-width

8、,image1-height),image1-depth,1);60. cvCvtColor(image1,srcImage,CV_BGR2GRAY);61. else62. srcImage=image1;63. 64. 65. if(image2-nChannels!=1)66. targetImage=cvCreateImage(cvSize(image2-width,image2-height),srcImage-depth,1);67. cvCvtColor(image2,targetImage,CV_BGR2GRAY);68. else69. targetImage=image2;

9、70. 71. 72. CvHistogram*Histogram1=cvCreateHist(1,&HistogramBins,CV_HIST_ARRAY,HistogramRange);73. CvHistogram*Histogram2=cvCreateHist(1,&HistogramBins,CV_HIST_ARRAY,HistogramRange);74. 75. cvCalcHist(&srcImage,Histogram1);76. cvCalcHist(&targetImage,Histogram2);77. 78. cvNormalizeHist(Histogram1,1)

10、;79. cvNormalizeHist(Histogram2,1);80. 81. /CV_COMP_CHISQR,CV_COMP_BHATTACHARYYA這兩種都可以用來(lái)做直方圖的比較，值越小，說(shuō)明圖形越相似82. printf(CV_COMP_CHISQR:%.4fn,cvCompareHist(Histogram1,Histogram2,CV_COMP_CHISQR);83. printf(CV_COMP_BHATTACHARYYA:%.4fn,cvCompareHist(Histogram1,Histogram2,CV_COMP_BHATTACHARYYA);84. 85. 86.

11、 /CV_COMP_CORREL,CV_COMP_INTERSECT這兩種直方圖的比較，值越大，說(shuō)明圖形越相似87. printf(CV_COMP_CORREL:%.4fn,cvCompareHist(Histogram1,Histogram2,CV_COMP_CORREL);88. printf(CV_COMP_INTERSECT:%.4fn,cvCompareHist(Histogram1,Histogram2,CV_COMP_INTERSECT);89. 90. cvReleaseHist(&Histogram1);91. cvReleaseHist(&Histogram2);92. i

12、f(image1-nChannels!=1)93. cvReleaseImage(&srcImage);94. 95. if(image2-nChannels!=1)96. cvReleaseImage(&targetImage);97. 98. return0;99. 100. StringsrcImage=d:ldh1.jpg;101. StringtargetImage=d:ldh5.jpg;102. intmain(intargc,char*argv)103. 104. CascadeClassifiercascade;105. namedWindow(image1);106. nam

13、edWindow(image2);107. if(!cascade.load(cascadeName)108. 109. return-1;110. 111. 112. MatsrcImg,targetImg;113. IplImage*faceImage1;114. IplImage*faceImage2;115. srcImg=imread(srcImage);116. targetImg=imread(targetImage);117. faceImage1=detect(srcImg,cascade,1);118. if(faceImage1=NULL)119. return-1;120. 121. /cvSaveImage(d:face.jpg,faceImage1,0);122. faceImage2=detect(targetImg,cascade,1);123. if(faceImage2=NULL)124. return-1;125. 126. /cvSaveImage(d:face1.jpg,faceImage2,0);127