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Gabor filters for Face Recognition
We propose a biometric face recognition system based on local features. Informative feature locations in the face image are located by Gabor filters, which gives us an automatic system that is not dependent on accurate detection of facial features. The feature locations are typically located at positions with high information content (such as facial features), and at each of these positions we extract a feature vector consisting of Gabor coefficients.
Index Terms: face, recognition, Gabor filters, Gabor filtering, local features, Gabor coefficients, face matching, face recognition, face verification, feature vector.
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Figure 1. Facial image |
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A simple and effective source code for Face Recognition Based on Local Features. All tests were performed on AT&T database. |
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Demo code (protected P-files) available for performance evaluation. Matlab Image Processing Toolbox is required.
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1.0
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2005.12.27
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We recommend to check the secure connection to PayPal, in order to avoid any fraud. |
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Face Recognition Based on Local Features – Release 1.0 – Click here for your donation. In order to obtain the source code you have to pay a little sum of money: 49 EUROS (less than 68,6 U.S. Dollars).
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Once you have done this, please email us luigi.rosa@tiscali.it
As soon as possible (in a few days) you will receive our new release of Face Recognition Based on Local Features. Alternatively, you can bestow using our banking coordinates:
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The authors have no relationship or partnership with The Mathworks. All the code provided is written in Matlab language (M-files and/or M-functions), with no dll or other protected parts of code (P-files or executables). The code was developed with Matlab 14 SP1. Matlab Image Processing Toolbox is required. The code provided has to be considered “as is” and it is without any kind of warranty. The authors deny any kind of warranty concerning the code as well as any kind of responsibility for problems and damages which may be caused by the use of the code itself including all parts of the source code.
Popularity: 1% [?]
Free Open Source FEM Softwares
Contents
Intro
This post shows a few interesting (and free) solutions structural engineers may find useful.
The common structural softwares for FEM analysis like Ansys, Abaqus, Nastran,etc.. have a license cost from 20′000 up to more than 100′000. If you are not a worker inside a great company or if you are not rich, you can not afford that.
Today on the web there are several free solutions, some of them have great potential, almost like commercial utilities. They are just a little harder to use, they are not the kind of user friendly softwares.
A complete list of the packages can be found here: http://en.wikipedia.org/wiki/List_of_finite_element_software_packages
A first attempt to link all fem free utilities into a single operating system has been made by J, Cugnoni with his Caelinux. Caelinux is an ubuntu linux version that contains many free fem utilities. Unfortunately the current version is the old ubuntu 9 and it can gives drivers issues with modern machines. Anyway all the packages in Caelinux can be installed on most linux platforms.
I report here my review about the 3 softwares that I consider a good trade-off between usability/perfomances and capabilities.
Code Aster
Code_Aster is an Open Source software package for Civil and Structural Engineering finite element analysis and numeric simulation in structural mechanics originally developed as an in-house application by the French company EDF. It was released as free software under the terms of the GNU General Public License, in October 2001.
Code aster can be compiled both on windows and linux, but since it can be integrated with the cad utility SALOME, it is better to use it on linux. A complete integrated package called SAlOME-MECA can be downloaded here: http://www.code-aster.org/V2/spip.php?article303
Code Aster is suitable for very complicated termo-mechanical analysis: it can take into account plasticity, non linear geometry, material state exchange, cracking and creep.
Unfortunately it take some time to learn how to use code aster. The solver takes as main input a python script that defines the kind of analysis , boundary conditions, time steps etc. To write this file is necessary a basic knowledge of FEM algorithms. A few samples for typical analysis are available on the web. The python library to write the input file is enormous and most of the doc is in french, this can be painful for someone. Two main utilities to simplify the Code_Aster input process are available: EFICAS that helps writing the input file and ASTK a job manager server.
ELMER
http://www.csc.fi/english/pages/elmer
Elmer is an open source multiphysical simulation software developed by CSC. Elmer development was started 1995 in collaboration with Finnish Universities, research institutes and industry.
Elmer includes physical models of fluid dynamics, structural mechanics, electromagnetics, heat transfer and acoustics, for example. These are described by partial differential equations which Elmer solves by the Finite Element Method (FEM)
Among the three elmer is simplest to use. A nice GUI guides the user trough all the fem model construction. It also has a mesh package even if it doesn’t allow for many editings. With elmer is just so easy to realize multiphisics anaisys. It also has a good built-in material library that turn out to be very useful. An interactive post-processing tools allows to visualize results.
Calculix
CalculiX is a package designed to solve field problems. The method used is the finite element method.
With CalculiX Finite Element Models can be build, calculated and post-processed. The pre- and post-processor is an interactive 3D-tool using the openGL API. The solver is able to do linear and non-linear calculations. Static, dynamic and thermal solutions are available. Both programs can be used independently. Because the solver makes use of the abaqus input format it is possible to use commercial pre-processors as well. In turn the pre-processor is able to write mesh related data for nastran, abaqus, ansys, code-aster and for the free-cfd codes duns, ISAAC and OpenFOAM. A vda CAD interface is available. The program is designed to run on Unix platforms like Linux and Irix computers but also on MS-Windows.
The CalculiX package was developed by a team of enthusiasts in their raw spare time. They are employees of MTU Munich, an Aero Engine manufacturer in Germany which granted the publication.
Calculix is made by two console applications: CCX which handles the computation and CGX which handles the graphical operations. Calculix offers steady and dynamics structural and fluid analysis and has one main peculiarity: it has the same Abaqus input file syntax.
More
Do you use others utilities that should be included in the above list? just tell us in the comments.
Popularity: 1% [?]
Facial Gender Recognition Using GA
Recognizing human gender plays an important role in many human computer interaction (HCI) areas. For example, search engines need an image filter to determine the gender of people in images from the Internet; demographic research can use gender information extracted from images to count the number of men and women entering a shopping mall or movie theater; a “smart building”might use gender for surveillance and control of access to certain areas. Besides these kinds of broad applications, gender recognition itself is an important research topic in both psychology and computer vision.
In psychology studies for HCI, the main focus is about how humans discriminate between males and females and what kind of features are more discriminative. A successful gender classification approach can boost the performance of many other applications including face recognition and smart human-computer interfaces. Despite its importance, it has received relatively little attention in the literature.
We have developed a system for facial gender recognition that is capable to extract from image most informative features using an approach based on genetic algorithms.
The code has been tested with Stanford Medical Student Face Database achieving an excellent recognition rate of 93.60% (200 female images and 200 male images, 90% used for training and 10% used for testing, hence there are 360 training images and 40 test images in total randomly selected and no overlap exists between the training and test images).
Index Terms: Matlab, source, code, gender, recognition, male, female, genetic, algorithm, algorithms, GA.
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Figure 1. Facial image |
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A simple and effective source code for Gender Recognition Based on Genetic Algorithms. |
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Demo code (protected P-files) available for performance evaluation. Matlab Image Processing Toolbox is required.
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Release
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Major features
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1.0
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2010.05.18
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We recommend to check the secure connection to PayPal, in order to avoid any fraud. |
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Gender Recognition Based on Genetic Algorithms – Click here for your donation. In order to obtain the source code you have to pay a little sum of money: 200 EUROS (less than 280 U.S. Dollars).
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Once you have done this, please email us luigi.rosa@tiscali.it
As soon as possible (in a few days) you will receive our new release of Gender Recognition Based on Genetic Algorithms. Alternatively, you can bestow using our banking coordinates:
|
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The authors have no relationship or partnership with The Mathworks. All the code provided is written in Matlab language (M-files and/or M-functions), with no dll or other protected parts of code (P-files or executables). The code was developed with Matlab 2006a. Matlab Image Processing Toolbox is required. The code provided has to be considered “as is” and it is without any kind of warranty. The authors deny any kind of warranty concerning the code as well as any kind of responsibility for problems and damages which may be caused by the use of the code itself including all parts of the source code.
Popularity: 1% [?]
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