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Posted 3 Oct 2011

EMGU Multiple Face Recognition using PCA and Parallel Optimisation

, 26 May 2014 CPOL
Using EMGU to perform Principle Component Analysis (PCA) multiple face recognition is achieved. Using .Net Parallel toolbox real time analysis and optimisation is introduced in a user friendly application.



Compare Revision Minor Date Status Editor
20 - publicly available No 26-May-14 23:46 Available C_Johnson
Added some supporting references for methods that can now be used within the supporting library but aren't explained in detail within the article
19 No 6-Jun-13 4:49 Available C_Johnson
Updates in content.
18 No 5-Jun-13 6:44 Available Smitha Nishant
Updates in content.
17 No 5-Jun-13 1:14 Available C_Johnson
Title Changes
16 No 5-Jun-13 1:13 Available C_Johnson
Title Changes
15 No 5-Jun-13 1:11 Available C_Johnson
Updates in content.
14 No 11-Sep-12 2:02 Available C_Johnson
Unrecongised person is flagged, save/load of recogniser made available v2.4
11 No 3-Oct-11 1:58 Available C_Johnson
8 No 29-Sep-11 12:05 Composing C_Johnson
6 No 29-Sep-11 6:57 Composing C_Johnson
5 No 29-Sep-11 6:56 Composing C_Johnson
4 No 28-Sep-11 10:37 Composing C_Johnson
2 No 28-Sep-11 9:14 Composing C_Johnson
1 No 28-Sep-11 8:59 Composing C_Johnson


This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


About the Author

Engineer Manchester Metropolitan University
United Kingdom United Kingdom
I have a large amount of experience in image processing undertaking it as a major part of my PhD. As an assistant lecturer I have helped teach the subject mater at masters level and programming skills to undergraduates. I have a good grasp of the abilities of various image processing methods and an expertise in there practical application.

What makes my experience unique is the ability to design a high-specification machine vision system from principle up. Using my extensive knowledge of electronics to produce the custom electronics often required to help provide the best images possible. Such well designed systems assist image processing algorithms and increase their abilities. Additional expertise developed from my education focuses around software engineering, electronic engineering and practical skills developed in mechanical engineering. My PHD research has produced industry quality designs that surpass the ability of products currently available to end users with in-depth experience of Image processing, microcontrollers (PIC’s) and FPGA devices. I am also experience with the new range of development boards that are replacing traditional microcontroller programming methods.

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