Rank: 364 based on 267 downloads (last 30 days) and 2 files submitted
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Vitomir Struc

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Company/University
University of Ljubljana

Personal Profile:

http://luks.fe.uni-lj.si/en/staff/vitomir/index.html

Professional Interests:
biometrics, face recognition, pattern recognition, signal processing

 

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16 Feb 2012 Screenshot The PhD face recognition toolbox Useful functions for face recognition research. Author: Vitomir Struc face recognition, image processing, biometrics, computer vision, pattern recognition, face verification 134 5
  • 4.33333
4.3 | 6 ratings
26 Jan 2012 Screenshot The INface toolbox v2.0 for illumination invariant face recognition Photometric normalization techniques used for achieving illumination invariant face recognition. Author: Vitomir Struc image processing, face recognition, biometrics, image enhancement, illumination invarian..., photometric normaliza... 133 16
  • 4.5
4.5 | 4 ratings
Comments and Ratings by Vitomir View all
Updated File Comments Rating
10 Apr 2012 The INface toolbox v2.0 for illumination invariant face recognition Photometric normalization techniques used for achieving illumination invariant face recognition. Author: Vitomir Struc

I agree in principle that not all techniques are making the recognition performance on all databases bettr. However, my goal was not to make only the best existing normalization techniques available to the research community, but to provide a set of methods, for which you can make your own judgement of their usefulnes. Since the success of a techniques may well depened on the feature extraction techniques you are using as well as other factors, it is not certain which technique is the best. Many authors advertise their techniques as being the best, therefore having source code available to test them on your own is really important. Knowing which techniques do not work and why, can therefore also be of relevance.

06 May 2011 The INface toolbox v2.0 for illumination invariant face recognition Photometric normalization techniques used for achieving illumination invariant face recognition. Author: Vitomir Struc

Adam, both the anisotorpic and isotorpic photometric normalization techniques in the toolbox are implemented via the inverse of a large sparse matrix, but they could of course also be implemented using multigrid methods. Regarding your results with the retinex techniques, I am not quite sure what you mean poor results. Are the recognition results poor when you use the images for face recognition or do you get visualy poor results. In any case the retinex technique does not depend on face registration at all.

24 Feb 2011 Walsh Functions This function computes the Walsh Function of order n and length m Author: Diego Guarin

The function contains a few errors. First of all, you do not return the first Walsh function, which is constant and equal to 1. This means that all Walsh functions returned by your function (if it was correctly implemented) would be of one order higher than specified by the parameter n. Next, your Matlab function returns the wrong order of the Walsh functions - have a look at any of the on-line sources. And it seems to me that all returned functions are multiplied by -1.

23 Nov 2010 The INface toolbox v2.0 for illumination invariant face recognition Photometric normalization techniques used for achieving illumination invariant face recognition. Author: Vitomir Struc

To anyone using the toolbox: the title of the publication associated with the INFace toolbox has changed; the correct title is: "Photometric normalization techniques for Illumination invariance"

23 Jun 2010 The INface toolbox v2.0 for illumination invariant face recognition Photometric normalization techniques used for achieving illumination invariant face recognition. Author: Vitomir Struc

That error jus means what it says. You run out of memory because your input image is too large. If you type help with the two functions, you will see that the two methods are not implemented using multigrid methods, but with a direct inversion of the (sparse) differential operator. Hence, you can only normalize images for which you are able to invert the operator in sparse form. Resize the image to a smaller size and try again.

Comments and Ratings on Vitomir's Files View all
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07 Jul 2014 The PhD face recognition toolbox Useful functions for face recognition research. Author: Vitomir Struc Cem

A great package. And Vito is a great adviser. Thank you.

Package needs a m file called normrc from the Neural Networks toolbox. But you can obtain it from other sources or write one yourself.

17 Feb 2014 The PhD face recognition toolbox Useful functions for face recognition research. Author: Vitomir Struc haem

18 Aug 2013 The PhD face recognition toolbox Useful functions for face recognition research. Author: Vitomir Struc sivareddy

great job

22 Oct 2012 The PhD face recognition toolbox Useful functions for face recognition research. Author: Vitomir Struc ....., Sashi Kanth

great tool box...

16 Aug 2012 The PhD face recognition toolbox Useful functions for face recognition research. Author: Vitomir Struc Ashwin

Awesome toolbox, the name tells the story

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