问题描述

Opencv SURF out of memory

采用Opencv源码中sample/c中的findobj.cpp的compareSURFDescriptors()、naiveNearestNeighbor()、
findPairs(）
static double compareSURFDescriptors( const float* d1, const float* d2, double best, int length )
{
double total_cost = 0;
assert( length % 4 == 0 );
for( int i = 0; i < length; i += 4 )
{
double t0 = d1[i ] - d2[i ];
double t1 = d1[i+1] - d2[i+1];
double t2 = d1[i+2] - d2[i+2];
double t3 = d1[i+3] - d2[i+3];
total_cost += t0*t0 + t1*t1 + t2*t2 + t3*t3;
if( total_cost > best )
break;
}
return total_cost;
}

static int naiveNearestNeighbor( const float* vec, int laplacian,
const CvSeq* model_keypoints,
const CvSeq* model_descriptors )
{
int length = (int)(model_descriptors->elem_size/sizeof(float));
int i, neighbor = -1;
double d, dist1 = 1e6, dist2 = 1e6;
CvSeqReader reader, kreader;
cvStartReadSeq( model_keypoints, &kreader, 0 );
cvStartReadSeq( model_descriptors, &reader, 0 );

for( i = 0; i < model_descriptors->total; i++ )
{
    const CvSURFPoint* kp = (const CvSURFPoint*)kreader.ptr;
    const float* mvec = (const float*)reader.ptr;
    CV_NEXT_SEQ_ELEM( kreader.seq->elem_size, kreader );
    CV_NEXT_SEQ_ELEM( reader.seq->elem_size, reader );
    if( laplacian != kp->laplacian )
        continue;
    d = compareSURFDescriptors( vec, mvec, dist2, length );
    if( d < dist1 )
    {
        dist2 = dist1;
        dist1 = d;
        neighbor = i;
    }
    else if ( d < dist2 )
        dist2 = d;
}
if ( dist1 < 0.6*dist2 )
    return neighbor;
return -1;

}

static void findPairs( const CvSeq* objectKeypoints, const CvSeq* objectDescriptors,
const CvSeq* imageKeypoints, const CvSeq* imageDescriptors, vector& ptpairs )
{
int i;
CvSeqReader reader, kreader;
cvStartReadSeq( objectKeypoints, &kreader );
cvStartReadSeq( objectDescriptors, &reader );
ptpairs.clear();

for( i = 0; i < objectDescriptors->total; i++ )
{
    const CvSURFPoint* kp = (const CvSURFPoint*)kreader.ptr;
    const float* descriptor = (const float*)reader.ptr;
    CV_NEXT_SEQ_ELEM( kreader.seq->elem_size, kreader );
    CV_NEXT_SEQ_ELEM( reader.seq->elem_size, reader );
    int nearest_neighbor = naiveNearestNeighbor( descriptor, kp->laplacian, imageKeypoints, imageDescriptors );
    if( nearest_neighbor >= 0 )
    {
        ptpairs.push_back(i);
        ptpairs.push_back(nearest_neighbor);
    }
}

}

int SurfMatch(IplImage* image1, IplImage* image2) {

initModule_nonfree();

CvMemStorage* storage = cvCreateMemStorage(0);

CvSeq* objectKeypoints = 0, *objectDescriptors = 0;
CvSeq* imageKeypoints = 0, *imageDescriptors = 0;
CvSURFParams params = cvSURFParams(500, 1);

cvExtractSURF(image1, 0, &objectKeypoints, &objectDescriptors, storage,
        params);

cvExtractSURF(image2, 0, &imageKeypoints, &imageDescriptors, storage,
        params);

vector<int> ptpairs;
findPairs(objectKeypoints, objectDescriptors, imageKeypoints,
        imageDescriptors, ptpairs);
cvReleaseMemStorage(&storage);
return ptpairs.size();

}

当匹配的图像对超过10对左右的时候，就out of memory了~想问一下~我在最后释放过了storage，为什么还是要爆呀~
谢谢！

解决方案

最简单的方法，用一些内存泄露的检测库来检测下看看哪儿有内存泄露，比如VLD类库