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INSTRUCTIONS FOR DOWNLOADING
BIOGIGA Database
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Download license agreement,
sign one copy, and send by email to atvs@uam.es according to the instructions given in point 2.
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Send an email to atvs@uam.es, as follows:
Subject:
[DATABASE download: BIOGIGA Database]
Body: Your name, e-mail, telephone
number, organization, postal mail, purpose for which you will use
the database, time and date at which you sent the email with the
signed license agreement.
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Once the email copy of the license
agreement has been received at ATVS, you will receive an email with a
username, a password, and a time slot to download the database.
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Download the database, for which you will need to provide the
authentication information given in step 3. After you finish the
download, please notify by email to atvs@uam.es that you have
successfully completed the transaction.
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For more information, please contact: atvs@uam.es
DESCRIPTION OF BIOGIGA Database
The baseline corpus of BioGiga consists of synthetic images at 94 GHz of the body of 50 individuals. The images are the result of simulations carried out on 3D-corporal models at two types of scenarios (outdoors, indoors) and with two kinds of imaging systems (passive and active). These corporal models were previously generated based on body measures taken from real subjects.
The database is gender balanced, consisting of 25 females and 25 males, with ages between 15 and 55 years old. For each user the database has four sets of images.
Passive imaging and Outdoors scenario Passive imaging and Indoors scenario Active imaging and Outdoors scenario Active imaging and Indoors scenario
For each user and each of the previous sets the following data was generated
Images of the human 3D model with clothes and an angle formed by the camera of -10, 0 and +10 degrees. Images of the human 3D model without clothes and an angle formed by the camera of -10, 0 and +10 degrees.
According to what is stated above, for each user the database has 4 sets x 2 clothes variation x 3 angles = 24 images at 94 GHz. Hence, the total number of images in BioGiga is 50 x 24 = 1200). Fig. 1 shows the 6 different images per user and set
REFERENCES
For further information regarding the database, the different features approaches extracted from the data and the experimental work we refer the reader to:
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[TIFS2017] E. Gonzalez-Sosa, R. Vera-Rodriguez, J. Fierrez, and V.M. Patel,
"Exploring Body Shape from mmW Images for Person Recognition",
EEE Transactions on Information Forensics and Security, Vol. 12, n. 9, pp. 2078-2089, Sept. 2017.
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[EURASIP2015] E. Gonzalez-Sosa, R. Vera-Rodriguez, J. Fierrez, M. Moreno-Moreno and J. Ortega-Garcia,
"Feature exploration for biometric recognition using millimetre wave body images",
EURASIP Journal on Image and Video Processing, Vol. 30, Dec. 2015.
Please remember to reference article [TIFS2017] and [EURASIP2015] on any work made public, whatever the form, based directly or indirectly on any part of the BIOGIGA database.
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