l3 wrote:
> By saying that "between two images", I'm assuming that the image
> contains the face which you want to compare.
>
> If that's the case, the process is called normalisation, or face
> localisation (although localisation usually refers to a larger class of
> problems).
>
> If it's just normalisation, then use the distance between the eyes or
> the triangle formed by the eyes, and nose. That said, an eye-detector,
> nose-detector or both will have to be implemented.
>
>
>
> mixo wrote:
>> Hello,
>>
>> I would like to implement an algorithm on face comparison between two
>> images. I Have some ideas how to do like geometrical comparison but
>> some problem appears as the position of the face or other.
>> somebody have an idea to resolve this problem ?
>>
>> Thanks all.
It then leads to the question: how powerful an algorithm does he need?
Solely measuring distances in this way is very simplistic. It doesn't
account for image intensities and it neglects the mouth, ears, etc.
Roy
--
Roy S. Schestowitz
http://Schestowitz.com
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