原帖地址: http://www./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.
http:///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
- #endif
-
- static 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";
-
-
- const char* nested_cascade_name ="2.xml";
-
-
- 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 )
- {
-
-
- 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_DO_CANNY_PRUNING
-
- ,
- 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
-
-
-
-
- ,
- 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 );
- }
相关数据:
haarcascade_frontalface_alt1.xml等
是人脸检测用的人的眼睛,鼻子等数据。
当然可以改名或使用你自己的。
java使用opencv
用JNI2OpenCV.dll:
FaceDetection.java
- 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();
- }
- }
就可以在java中实现人脸识别了。
第一副图是c语言的人脸识别效果。
第二幅图是java版的效果。
相关文件备份:
http://www./d/a0d6b376810bf6b02c977435be95fb9d55a95fe4540d3c00
有运行不了的情况,是要重编译opencv
题外话:(当然据说目前挺火的绿*霸用的就是这个)
“从XFImage.xml可观察到,绿*霸使用了OpenCV的haar分类器进行人脸检测。绿*霸附带的cximage.dll、
CImage.dll、xcore.dll和Xcv.dll也来自OpenCV的库文件。都反映出绿*霸主要使用了OpenCV来进行图像方面的处理。
绿*霸 也无视了OpenCV的BSD许可证。”
http://www./uploads/soft/200907/1_03181303.rar
(已上传的文件:Java调OpenCV.rar)
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