Research Projects

  • Duration
  • 2 year (06/2018 - 06/2020)
  • Scope
  • National project funded by "FEDER, Fundo de Coesão e Fundo Social Europeu" through the "Portugal 2020" programme (POCI-01-0247-FEDER-033395).
  • Description
  • The BIODI project is a cooperation between the company TOMIWORLD and the University of Beira Interior for creating smarter and safer cities by integrating intelligent modules into TOMI devices. These devices are interactive outdoor panels equipped with digital cameras produced and merchandised by the TOMIWORLD company. Their main functions are twofold: 1) provide useful information about the specific place where the device is deployed; 2) serve as dynamic advertisement panels. In this context, the BIODI project aims at developing methods for both estimating soft biometrics from TOMI users and detecting incidents and crimes in the street. The development of these methods will rely on computer vision techniques and constitutes the primary research part of this project.
  • Responsability
  • Coordenation
  • Duration
  • 1 year (03/2014 - 03/2015)
  • Scope
  • National project funded by Instituto de Telecomunicações
  • Description
  • The acronym of this proposal comes from the Latin and summarizes its goals: “Quis” stands for “Who is” and “Campus” refers to a delimited space. Hence, in this project we aim at research and development of a biometric recognition system able to work in completely covert conditions. The main idea is that whenever a subject enters a QUIS-CAMPUS, it is automatically recognized, using multiple biometric sources and without requiring any active participation from the subject side..
  • Responsability
  • Development of biometric recognition methods capable of working in surveillance scenarios.
  • Duration
  • 2 years (05/2011 - 05/2013)
  • Scope
  • National project funded by Instituto de Telecomunicações
  • Description
  • Biomedical research typically requires the collection of very high quantities of microscopy images, with its subsequent manual or semi-automatic analysis using support software. This task is slow, subjective and very tiring, which motivates its full automation, allowing scientists to devote their full attention to the more critical issues of their research. The CellNote Touch project will combine research in computer vision and human-computer interaction to create an interactive touch-based tool for an improved analysis and annotation of cellular images that can run on a simple tablet-type computer.
  • Responsability
  • Automate the analysis of cellular images obtained under the microscope using computer vision methods, in particular investigate and develop an algorithm for automatic annotation of cellular images with Leishmania infections.

    Reviewing Activities

    Journals

  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Medical Imaging
  • Artificial Intelligence Review
  • Image and Vision Computing
  • IET Biometrics

  • Conferences

  • Iberoamerican Congress on Pattern Recognition (CIARP), 2019
  • IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), 2019
  • Iberian Conference on Pattern Recognition and Image Analysis} (IbPRIA), 2019
  • IEEE Winter Conference on Applications of Computer Vision (WACV), 2018
  • IEEE Winter Conference on Applications of Computer Vision (WACV), 2017
  • IEEE Winter Conference on Applications of Computer Vision (WACV), 2016
  • European Signal Processing Conference (EUSIPCO), 2014