我尝试在 Visual Studio 2010 中使用
cvGoodFeatureToTrack
函数,图像类型为 Mat
。我见过的大多数示例都使用 IplImage
指针。
现在我有这个:
int w, h; // video frame size
Mat grayFrame;
Mat eigImage;
Mat tempImage;
const int MAX_CORNERS = 10;
CvPoint2D32f corners[MAX_CORNERS] = {0};
int corner_count = MAX_CORNERS;
double quality_level = 0.1;
double min_distance = 10;
int eig_block_size = 3;
int use_harris = false;
w = CurrFrame.size().width;
h = CurrFrame.size().height;
cvtColor(CurrFrame, grayFrame, CV_BGR2GRAY);
cvGoodFeaturesToTrack(&grayFrame,
&eigImage,
&tempImage,
corners,
&corner_count,
quality_level,
min_distance,
NULL,
eig_block_size,
use_harris);
它可以编译,但会出现内存访问冲突。救命!
作为起点,如果无论如何都使用 C++(就像您使用
cv::Mat
和 cv::cvtColor
所建议的那样),那么为什么不使用 C++ 接口来完成其余部分呢?
cv::goodFeaturesToTrack
或 cv::GoodFeaturesToTrackDetector
,它们是为 cv::Mat
和朋友而设计的,而不是从 cv::Mat
到 IplImage*
进行不必要的转换。
cv::Mat grayFrame;
std::vector<cv::Point2f> corners;
double quality_level = 0.1;
double min_distance = 10;
int eig_block_size = 3;
int use_harris = false;
const int MAX_CORNERS = 10;
cv::cvtColor(CurrFrame, grayFrame, CV_BGR2GRAY);
cv::goodFeaturesToTrack(grayFrame,
corners,
MAX_CORNERS,
quality_level,
min_distance,
cv::noArray(),
eig_block_size,
use_harris);