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Different approach in Face Detection in openCV 1.x and openCV 2.x

Hi,

I have been using openCV FD(face detection) using Haar-like Cascade.

In the later versions of openCV while searching for faces the original image is resized w.r.t scale factor and feed to the cascade run at each window size, where as in the older versions the cascade rectangles and there weights are resized according to the window size and given for the cascade run without resizing original image.

May I know why exactly is this done and what benefit do we get by searching in the latest version style?

Thanks Sandeep John.V

Different approach approaches in Face Detection in openCV 1.x and openCV 2.x

Hi,

I have been using openCV FD(face detection) using Haar-like Cascade.

In the later versions of openCV while searching for faces the original image is resized w.r.t scale factor and feed to the cascade run at each window size, where as in the older versions the cascade rectangles and there weights are resized according to the window size and given for the cascade run without resizing original image.

May I know why exactly is this done and what benefit do we get by searching in the latest version style?

Thanks Sandeep John.V

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Different approaches in Face Detection in openCV 1.x and openCV 2.x

Hi,

I have been using openCV FD(face detection) using Haar-like Cascade.

In the later versions of openCV while searching for faces the original image is resized re-sized w.r.t scale factor and feed to the cascade run at each window size, where as in the older versions the cascade rectangles and there their weights are resized re-sized according to the window size and given for the cascade run without resizing re-sizing original image.

May I know why exactly this is this done in that way and what benefit do we get by searching in the latest version style?

Thanks Sandeep John.V