Home Messages Index
[Date Prev][Date Next][Thread Prev][Thread Next]
Author IndexDate IndexThread Index

Re: FAce comparison

  • Subject: Re: FAce comparison
  • From: l3 <mail@mail.com>
  • Date: Thu, 31 Mar 2005 21:26:49 +0100
  • In-reply-to: <d2fqsq$ckh$2@godfrey.mcc.ac.uk>
  • Newsgroups: sci.image.processing
  • Organization: University of Cambridge, England
  • References: <1112174224.792149.62710@o13g2000cwo.googlegroups.com> <d2ergc$53f$1@gemini.csx.cam.ac.uk> <d2fqsq$ckh$2@godfrey.mcc.ac.uk>
  • User-agent: Mozilla Thunderbird 1.0 (X11/20041206)
  • Xref: news.mcc.ac.uk sci.image.processing:47475
I was assuming that all faces are frontal facing.

If the orientation of tha faces are not similar, then a proper localization procedure is required. And that in itself is a pretty big research topic.



Roy Schestowitz wrote:
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


[Date Prev][Date Next][Thread Prev][Thread Next]
Author IndexDate IndexThread Index