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Dear All, I implement OpenCV face detection in iPhone 4. When I look at the time taken for the implementation of the function face_cascade->detectMultiScale(*grayMat, faces, haar_scale, haar_minNeighbors, haar_flags, haar_minSize ); It takes nearly 120msec. I can't tolerate that amount of time for my application. How can I improve the performance to reduce the processng time? My configurations are float haar_scale = 1.15; int haar_minNeighbors = 3; int haar_flags = 0 | CV_HAAR_SCALE_IMAGE | CV_HAAR_DO_CANNY_PRUNING; cv::Size haar_minSize = cvSize(60, 60); Thanks. Thomas

Dear All, I implement OpenCV face detection in iPhone 4. When I look at the time taken for the implementation of the function function
face_cascade->detectMultiScale(*grayMat, faces, haar_scale, haar_minNeighbors, haar_flags, haar_minSize ); );
It takes nearly 120msec. I can't tolerate that amount of time for my application. How can I improve the performance to reduce the processng time? My configurations are
float haar_scale = 1.15; 1.15;
int haar_minNeighbors = 3; 3;
int haar_flags = 0 | CV_HAAR_SCALE_IMAGE | CV_HAAR_DO_CANNY_PRUNING; CV_HAAR_DO_CANNY_PRUNING;
cv::Size haar_minSize = cvSize(60, 60); Thanks. Thomas60);
Thanks.
Thomas

Dear All, All,

I implement OpenCV face detection in iPhone 4. 4. When I look at the time taken for the implementation of the function

face_cascade->detectMultiScale(*grayMat, faces, haar_scale,
                                   haar_minNeighbors, haar_flags, haar_minSize ); 
);

float haar_scale = 1.15; 
 
int haar_minNeighbors = 3; 
 
int haar_flags = 0 | CV_HAAR_SCALE_IMAGE | CV_HAAR_DO_CANNY_PRUNING; 
 
cv::Size haar_minSize = cvSize(60, 60); 
60);