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Re: PCA - What next!?: msg#01188

lib.opencv

Subject: Re: PCA - What next!?

Yes. Check out the cvMahalanobis function, which calculates the
Mahalanobis distance between any two vectors.

Regards, :D
Paramesh.

--- In OpenCV@xxxxxxxxxxxxxxx, Fadi Chakik <fadichakik@...> wrote:
>
> Hi,
>
> >To recognize using the weights, you can use euclidean >distance,
> >Correlation distance, covariance distance, and many other >distances
> >available.
>
> Are these measures available inside OpenCV?
>
> -Fadi
>
> Parameswaran <cegparamesh@...> wrote:
> There are many available techniques for face recognition, which can be
> found in the face recognition homepage:
> www.face-rec.org
>
> The simplest and best approach is PCA or eigenfaces approach, which
> can be used either to recognize, or to reduce the dimensionality.
>
> To recognize using the weights, you can use euclidean distance,
> Correlation distance, covariance distance, and many other distances
> available.
>
> TO save the bounding rectangle of a face, you have to set the Image
> Region of Interest(ROI) and save the image.
> After saving, reset the ROI.
>
> Regards, :D
> Paramesh.
>
> --- In OpenCV@xxxxxxxxxxxxxxx, "kirkl_tamworth" <kirkl_tamworth@>
> wrote:
> >
> > Hi all,
> >
> > I have successfully compiled the PCA example provided in the files
> > section, which outputs the eigenvalues and such. I have two queries:
> >
> > 1. Can you help me with where I go from here to perform face-
> > recognition? I have 25 face images ready to use and would greatly
> > appreciate some help with completing the Eigenface approach.
> >
> > 2. I have also managed to incorporate the face detection sample
into a
> > C# application, but I'm not sure how to extract the face from the
> > image, given that I know the bounding rectangle. Is there an OpenCV
> > function that can do this for me?
> >
> > My first query is much more important than the second and I would
> > really, really appreciate some help with this. Thanks.
> >
> > Kirk
> >
>
>
>
>
>
>
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