转：Java使用OpenCV进行人脸识别
原帖地址：http://www.docslib.com/html/JAVAwendang/2009/0703/28.html
遇到opencv，使用后，列一下。
(当然据说目前挺火的 绿*霸 用的就是这个)
opencv是个图形函数库，内容丰富。是Intel资助的开源计算机视觉库。
由一系列 C 函数和少量 C++ 类构成，实现了图像处理和计算机视觉方面的很多通用算法。
OpenCV 对非商业应用和商业应用都是免费（FREE）的。
相关网站：
http://www.opencv.org.cn
http://sourceforge.net/projects/opencvlibrary/
http://tech.groups.yahoo.com/group/OpenCV/
下载下来后，例子直接运行。
有些情况，比如提供的例子运行出错，需要重新编译。
windows下，vc6，重编译时有错误，是源程序里有个注释写错了位置，改了可以了，编译有顺序，一般提示...d文件找不到，顺藤摸瓜的找到源文件，编译就可以。
有个face检测的程序有意思：
可以检测人脸。
直接调用人脸检测函数。非常简单
人脸检测是2002年的论文？后来加入了侧脸检测？
#include "cv.h"#include "highgui.h"#include <stdio.h>#include <stdlib.h>#include <string.h>#include <assert.h>#include <math.h>#include <float.h>#include <limits.h>#include <time.h>#include <ctype.h>#ifdef _EiC#define WIN32#endifstatic CvMemStorage* storage = 0;static CvHaarClassifierCascade* cascade = 0;static CvHaarClassifierCascade* nested_cascade = 0;int use_nested_cascade = 0;void detect_and_draw( IplImage* image );const char* cascade_name ="1.xml"; // "../../data/haarcascades/haarcascade_frontalface_alt_tree.xml";/* "";haarcascade_profileface.xml*/const char* nested_cascade_name ="2.xml"; // "../../data/haarcascades/haarcascade_eye_tree_eyeglasses.xml";// "../../data/haarcascades/";double scale = 1;int main( int argc, char** argv ){ CvCapture* capture = 0; IplImage *frame, *frame_copy = 0; IplImage *image = 0; const char* scale_opt = "--scale="; int scale_opt_len = (int)strlen(scale_opt); const char* cascade_opt = "--cascade="; int cascade_opt_len = (int)strlen(cascade_opt); const char* nested_cascade_opt = "--nested-cascade"; int nested_cascade_opt_len = (int)strlen(nested_cascade_opt); int i; const char* input_name = 0; input_name = argv[1]; cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 ); if( !cascade ) { fprintf( stderr, "ERROR: Could not load classifier cascade\n" ); fprintf( stderr, "Usage: facedetect [--cascade="<cascade_path>"]\n" " [--nested-cascade[="nested_cascade_path"]]\n" " [--scale[=<image scale>\n" " [filename|camera_index]\n" ); return -1; } if( !input_name || (isdigit(input_name[0]) && input_name[1] == '\0') ) capture = cvCaptureFromCAM( !input_name ? 0 : input_name[0] - '0' ); else if( input_name ) { storage = cvCreateMemStorage(0); image = cvLoadImage( input_name, 1 ); if( !image ) capture = cvCaptureFromAVI( input_name ); } else image = cvLoadImage( "lena.jpg", 1 ); cvNamedWindow( "result", 1 ); if( capture ) { for(;;) { if( !cvGrabFrame( capture )) break; frame = cvRetrieveFrame( capture ); if( !frame ) break; if( !frame_copy ) frame_copy = cvCreateImage( cvSize(frame->width,frame->height), IPL_DEPTH_8U, frame->nChannels ); if( frame->origin == IPL_ORIGIN_TL ) cvCopy( frame, frame_copy, 0 ); else cvFlip( frame, frame_copy, 0 ); detect_and_draw( frame_copy ); if( cvWaitKey( 10 ) >= 0 ) goto _cleanup_; } cvWaitKey(0);_cleanup_: cvReleaseImage( &frame_copy ); cvReleaseCapture( &capture ); } else { if( image ) { detect_and_draw( image ); cvShowImage( "result", image ); cvWaitKey(0); cvReleaseImage( &image ); } else if( input_name ) { /* assume it is a text file containing the list of the image filenames to be processed - one per line */ FILE* f = fopen( input_name, "rt" ); if( f ) { char buf[1000+1]; while( fgets( buf, 1000, f ) ) { int len = (int)strlen(buf), c; while( len > 0 && isspace(buf[len-1]) ) len--; buf[len] = '\0'; printf( "file %s\n", buf ); image = cvLoadImage( buf, 1 ); if( image ) { detect_and_draw( image ); c = cvWaitKey(0); if( c == 27 || c == 'q' || c == 'Q' ) break; cvReleaseImage( &image ); } } fclose(f); } } } cvDestroyWindow("result"); return 0;}void detect_and_draw( IplImage* img ){ static CvScalar colors[] = { {{0,0,255}}, {{0,128,255}}, {{0,255,255}}, {{0,255,0}}, {{255,128,0}}, {{255,255,0}}, {{255,0,0}}, {{255,0,255}} }; IplImage *gray, *small_img; int i, j; gray = cvCreateImage( cvSize(img->width,img->height), 8, 1 ); small_img = cvCreateImage( cvSize( cvRound (img->width/scale), cvRound (img->height/scale)), 8, 1 ); cvCvtColor( img, gray, CV_BGR2GRAY ); cvResize( gray, small_img, CV_INTER_LINEAR ); cvEqualizeHist( small_img, small_img ); cvClearMemStorage( storage ); if( cascade ) { double t = (double)cvGetTickCount(); CvSeq* faces = cvHaarDetectObjects( small_img, cascade, storage, 1.1, 2, 0 //|CV_HAAR_FIND_BIGGEST_OBJECT //|CV_HAAR_DO_ROUGH_SEARCH |CV_HAAR_DO_CANNY_PRUNING //|CV_HAAR_SCALE_IMAGE , cvSize(30, 30) ); t = (double)cvGetTickCount() - t; printf( "detection time = %gms\n", t/((double)cvGetTickFrequency()*1000.) ); for( i = 0; i < (faces ? faces->total : 0); i++ ) { CvRect* r = (CvRect*)cvGetSeqElem( faces, i ); CvMat small_img_roi; CvSeq* nested_objects; CvPoint center; CvScalar color = colors[i%8]; int radius; center.x = cvRound((r->x + r->width*0.5)*scale); center.y = cvRound((r->y + r->height*0.5)*scale); radius = cvRound((r->width + r->height)*0.25*scale); cvCircle( img, center, radius, color, 3, 8, 0 ); if( !nested_cascade ) continue; cvGetSubRect( small_img, &small_img_roi, *r ); nested_objects = cvHaarDetectObjects( &small_img_roi, nested_cascade, storage, 1.1, 2, 0 //|CV_HAAR_FIND_BIGGEST_OBJECT //|CV_HAAR_DO_ROUGH_SEARCH //|CV_HAAR_DO_CANNY_PRUNING //|CV_HAAR_SCALE_IMAGE , cvSize(0, 0) ); for( j = 0; j < (nested_objects ? nested_objects->total : 0); j++ ) { CvRect* nr = (CvRect*)cvGetSeqElem( nested_objects, j ); center.x = cvRound((r->x + nr->x + nr->width*0.5)*scale); center.y = cvRound((r->y + nr->y + nr->height*0.5)*scale); radius = cvRound((nr->width + nr->height)*0.25*scale); cvCircle( img, center, radius, color, 3, 8, 0 ); } } } cvShowImage( "result", img ); cvReleaseImage( &gray ); cvReleaseImage( &small_img );}class JNIOpenCV { static { System.loadLibrary("JNI2OpenCV"); } public native int[] detectFace(int minFaceWidth, int minFaceHeight, String cascade, String filename);}public class FaceDetection { private JNIOpenCV myJNIOpenCV; private FaceDetection myFaceDetection; public FaceDetection() { myJNIOpenCV = new JNIOpenCV(); String filename = "5.jpg"; String cascade = "haarcascade_frontalface_default.xml"; int[] detectedFaces = myJNIOpenCV.detectFace(40, 40, cascade, filename); int numFaces = detectedFaces.length / 4; System.out.println("numFaces = " + numFaces); for (int i = 0; i < numFaces; i++) { System.out.println("Face " + i + ": " + detectedFaces[4 * i + 0] + " " + detectedFaces[4 * i + 1] + " " + detectedFaces[4 * i + 2] + " " + detectedFaces[4 * i + 3]); } } public static void main(String args[]) { FaceDetection myFaceDetection = new FaceDetection(); }}
