Download Latest Version AERST MATLAB.zip (718.0 kB)
Email in envelope

Get an email when there's a new version of AERST SIMULATOR TOOL

Home
Name Modified Size InfoDownloads / Week
AERST TOOL 2011-08-03
0
README.txt 2011-08-03 2.2 kB
0
AERST CPP.zip 2011-08-03 1.2 MB
0
AERST_GUIDE.pdf 2011-08-03 299.1 kB
0
AERST MATLAB.zip 2011-08-03 718.0 kB
0
Totals: 5 Items   2.2 MB 0 
///////////////////////////////////////////

INSTRUCTIONS TO USE THE AERST C++ simulator tool:

A complete user guide to use and create new modules for the AERST tool is described in "AERST_GUIDE.pdf".


First, go to the folder "CODE C OK TO COMPILE" and compile and create the executable file "AERST.exe". Move this file (AERST.exe) to the folder "AERST_MAIN".

Once the executable file has been created, the examples "MAIN_C_example.m", "MAIN_C_modules.m"
and "MAIN_C_textures.m" can be invoked.

"MAIN_C_example.m" and "MAIN_C_modules.m" implement two different examples showing the use of all the modules implemented within the AERST tool.
"MAIN_C_textures.m" create a feature vector corresponding to a flow of events corresponding to one texture image as described in the paper:

J. Perez-Carrasco, B. Acha, C. Serrano, L. Camunas-Mesa, T. Serrano-Gotarredona, and B. Linares-Barranco, 
"Fast Vision Through Frameless Event-Based Sensing and Convolutional Processing: Application to Texture Recognition,” Neural Networks, IEEE Transactions on, vol. 21, no. 4, pp. 609-620, 2010.

Please, reference it each time you use the AERST tool.

An example of how to convert an image to a flow of events is shown in the file "convert_image2flow.m".


///////////////////////////////////////////

INSTRUCTIONS TO USE THE AERST MATLAB simulator tool.

A complete user guide to use and create new modules for the AERST tool is described in "AERST_GUIDE.pdf".


The examples "MAIN_C_example.m", "MAIN_C_modules.m" can be invoked directly in the MATLAB prompt.

"MAIN_C_example.m" and "MAIN_C_modules.m" implement two different examples showing the use of all the modules implemented within the AERST tool.


Please, reference the following paper each time you use the AERST tool:
J. Perez-Carrasco, B. Acha, C. Serrano, L. Camunas-Mesa, T. Serrano-Gotarredona, and B. Linares-Barranco, 
"Fast Vision Through Frameless Event-Based Sensing and Convolutional Processing: Application to Texture Recognition,” Neural Networks, IEEE Transactions on, vol. 21, no. 4, pp. 609-620, 2010.


An example of how to convert an image to a flow of events is shown in the file "convert_image2flow.m".
Source: README.txt, updated 2011-08-03