Links

Research

His research interests are signal/image processing and computational intelligent techniques for biometrics and industrial and environmental applications. In particular, his research activities have been focused on the following areas.

Biometric systems

He has studied innovative algorithms, methods, and systems for verification, identification, and continuous authentication, based on hard and soft biometric characteristics, in particular for security applications. In this context, his research has been focused on: less-constrained and highly-usable acquisition methods, feature extraction and matching techniques robust to noise, and template encryption and privacy protection techniques. Specifically:
Contactless fingerprint recognition
He has studied innovative algorithms for less-constrained fingerprint systems. Particular attention has been given to techniques for reconstructing and processing three-dimensional models for live recognition applications and forensics. He has also designed algorithms and techniques for feature extraction and processing of touchless images captured by single camera systems.
Continuous authentication based on cardiac signals
He has studied original algorithms and methods for continuous authentication systems. In particular, his research has been focused on biometric systems based on one-dimensional physiological signals, such as electrocardiogram (ECG) and plethysmograph (PPG).
Less-constrained biometric systems
He has studied innovative algorithms and methods for the reducing operating and environmental constraints imposed by conventional biometric systems. In particular, his research has been focused on iris recognition systems based on images captured in uncontrolled light condition, at a distance, and on the move, as well as on surveillance applications based on soft biometric characteristics.
Privacy in biometrics
He has studied original algorithms and methods for privacy preserving biometric systems. Particular attention has been given to algorithms and biometric systems based on fingerprint characteristics and template protection strategies.
Soft biometrics
He has studied soft biometric techniques with the specific reference to the weight estimation of walking individuals from frame sequences captured at a distance.

Industrial and environmental informatics

He has studied multidimensional signals processing methods, computational intelligence techniques, and adaptive systems for industrial and environmental applications, with specific reference to monitoring, measuring, three-dimensional reconstruction, and classification problems. Particular attention has been given to algorithms and systems for three-dimensional reconstruction based on multiple views, adaptive algorithms for feature extraction from images and three-dimensional models, and artificial neural networks for modelling and classification. As study cases, he has worked on wood panel manufacturing, contactless volumetric measurements, classification of microscopic images, wildfire monitoring systems in forests, and expert systems. In particular, his research has been focused on the following areas:
Industrial informatics
He has studied innovative algorithms and methods for qualitative and quantitative analysis of material and manufacturing processes, based on signals, images, and three-dimensional models. In particular, he has developed original algorithms, computational intelligence techniques, and systems for monitoring the wood panel production with low environmental impact, estimating the object volume based on multiple-camera images, classifying wood panels, analyzing blood sample images acquired using microscopes, and expert systems.
Environmental informatics
He has studied original algorithms, computational intelligence methods, and simulation techniques for environmental monitoring systems. Particular attention has been given to systems for monitoring wildfires based on networks of low cost cameras.


© 2012 Ruggero Donida Labati