Material

 


 
X-ray image of a bag - Baggage Screening
   

GDXray database

As a service to the X-ray testing and Computer Vision communities, we collected more than 19.400 X-ray images for the development, testing and evaluation of image analysis and computer vision algorithms. The X-ray images included in GDXray can be used free of charge, for research and educational purposes only. Redistribution and commercial use is prohibited. See more...

 
   
Domingo Mery at PSIVT2010 (Singapore)   

Presentations

Several public presentations have been done in the last years. Some of them are as keynote speaker or speaker in international conferences in English... other ones as local speaker at the University in Spanish. Here you can find the most important presentations. See more... 


 
   
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Toolbox Balu

Matlab toolbox for image processing, feature extraction, feature transformation, feature analysis, feature selection, data selection and generation, classification, clustering, performance evaluacion, multiple-view analysis, image sequence processing and tracking with geometrical constraints. It contains more than 200 functions. See more...

 
   
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Toolbox Xvis

Matlab toolbox for X-ray testing with computer vision with more than 150 functions for image processing, feature extraction, feature transformation, feature analysis, feature selection, data selection and generation, classification, clustering, performance evaluation, multiple-view analysis, image sequence processing and tracking with geometrical constraints. See more...

 
 
   
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ASR+

This is the supplementary material for our algorithm 'Adaptive Sparse Recognition with Random Patches for Recognition of Facial Attributes and Face Recognition'. Download Matlab Code with two demos). This code requires toolboxes SPAMSVLFeat and Balu. ASR+ used in recognition of facial attributes was presented at ECCV2014 Workshop on Soft-Biometics (see slides and paper -best paper award-). ASR+ used in face recognition will be presented at WIFS2014 (see paper). 


 
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AISM

This is the suplementary material of our algorithm 'Adapted Implicit Shape Model' used to detect threat objects in baggage screening. Download Matlab code and images, example and paper:

Riffo, V.; Mery, D. (2015): Automated detection of threat objects using Adapted Implicit Shape Model. IEEE Transactions on Systems, Man, and Cybernetics: Systems


 
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CVCND

This is the the official website of the Computer Vision Course at the University of Notre Dame. In this website you can find all presentationsMatlab codesvideos, etc. that were used in the lectures in Fall Semester 2014. The material of each lecture is available day by day in our Lecture Notes.

 

 
   
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FR

Material for introduction to face recognition used in the lectures for Biometrics Course at University of Notre Dame 2014. Download slides for Part 1 and Part 2, and Matlab code. This code requires database ORL and toolboxes Balu and VLFeat.

 


 
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Defects (Xray-Testing)

This is the suplmentary material of the paper presented at WACV-2017 that evaluates 24 different computer vision algorithms on a dataset of 47.520 cropped images that contains defects and no-defects in aluminum castings. Download Matlab code and dataset.

Mery, D.; Arteta, C.: Automatic Defect Recognition in X-ray Testing using Computer Vision. In 2017 IEEE Winter Conference on Applications of Computer Vision, WACV2017 [ pdf ]