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May 11th, 2017, 01:01 AM  #1 
Newbie Joined: May 2017 From: ES Posts: 3 Thanks: 0  Face Recognition
Hi, I'm working on a face recognition software. I'm doing it with ortogonal projection, so I can get the smallest norm between vectors. In this way I get good results, but I would like to know how I could improve the error rate of the recognition using lineal algebra. Thanks! PD: I'm programming with MatLab software. Enviado desde mi LEX720 mediante Tapatalk Last edited by avicarpio; May 11th, 2017 at 01:26 AM. 
May 11th, 2017, 01:19 AM  #2 
Senior Member Joined: Feb 2016 From: Australia Posts: 1,475 Thanks: 494 Math Focus: Yet to find out.  Rendiment? Performance? Matlab has a nice image processing toolbox if you can get it: https://www.mathworks.com/products/image.html 
May 11th, 2017, 01:27 AM  #3  
Newbie Joined: May 2017 From: ES Posts: 3 Thanks: 0  Quote:
Enviado desde mi LEX720 mediante Tapatalk  
May 11th, 2017, 01:30 AM  #4  
Newbie Joined: May 2017 From: ES Posts: 3 Thanks: 0  Quote:
Enviado desde mi LEX720 mediante Tapatalk  

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