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2015-10-26 05:31:44 -0500 asked a question OpenCV most efficient way to find a point in a polygon

I have a dataset of 500 cv::Point.

For each point, I need to determine if this point is contained in a ROI modelized by a concave polygon. This polygon can be quite large (most of the time, it can be contained in a bounding box of 100x400, but it can be larger)

For that number of points and that size of polygon, what is the most efficient way to determine if a point is in a polygon?

using the pointPolygonTest openCV function? building a mask with drawContours and finding if the point is white or black in the mask? other solution? (I really want to be accurate, so convex polygons and bounding boxes are excluded).

2015-09-14 06:13:21 -0500 commented question HOGDescriptor: human detection dataset

Thanks for your answers! @StevenPuttemans I suppose that none of the alternatives you mentioned are provided by OpenCV?

2015-09-14 03:10:06 -0500 asked a question HOGDescriptor: human detection dataset

Hi,

I have a little question concerning opencv implementation and maybe someone here knows the answer.

I’m using the HOGDescriptor class for human detection and I’d like to know how was trained the openCV SVM for human body detection: is it with the INRIA dataset (http://pascal.inrialpes.fr/data/human/) or something else?

I’ve searched on the opencv documentation and stackoverflow but I haven’t found what I was looking for.

The problematic behind this question is that I don't get good detection results with the OpenCV dataset and I'd like to know if it could be a good idea to try to train my own SVM with another dataset.