Duración: 10 diciembre 2007 hasta 9 diciembre 2012
Financiado por: referencia

MIPRCV establishes a five-years research programme to develop PR and CV approaches that explicitly deal with the challenges and opportunities entailed by the human-interaction paradigm. Based on these approaches, it also aims at implementing actual systems and prototypes for a number of important MI applications.

The ultimate goal is to show how existing PR and CV technologies can naturally evolve to help the development of advanced multi-modal interactive systems that will realize the long standing promises of a seamless synergy between persons and machines. Read more

Partners

The MIPRCV research team consists of more than 100 researchers from 10 Universities and research centers structured into 9 Research Groups:

Computer Vision Group (CV-CVC)
Comprised of researchers from the Computer Vision Center (CVC) and Autonomous University of Barcelona (UAB). The main areas of research are: Advanced driver assistance systems, robot vision, video sequence analysis. Read more
Computer Vision and Digital Signal Processing Group (CVDSP-UJI)
Comprised of researchers of two groups; one from University Jaume I (UJI) and another from the University of Valencia (UV). Main areas of research are: Colour and multispectral images, dynamic modelling and scene understanding, biologically inspired image models, pattern analysis and machine learning, data mining, human motion understanding and biometrics, remote sensing medical imaging, augmented and mixed reality. Read more
Computer Vision and Learning Group (CVL-UGR)
Comprised of researchers of two groups from the University of Granada (UGR) and one from the University of the Basque Country (EHU). The main areas of research are: Image restoration, superresolution, shape and human-action recognition, probabilistic graphical models, information retrieval, evolutionary computation. Read more
Pattern Recognition Group (PR-CVC)
Comprised of researchers from the Computer Vision Center (CVC) and Autonomous University of Barcelona (UAB). The main areas of research are: Object (more specifically, face) recognition, medical imaging, document analysis, colour and texture analysis. Read more
Pattern Recognition and Artificial Intelligence Group (PRAI-UA)
Comprised of researchers from the University of Alicante (UA). The main areas of research are: Statistical and structural pattern recognition, machine learning, musical information retrieval. Read more
Pattern Recognition and Human Language Technology Group (PRHLT-ITI)
The research team coordinator, Enrique Vidal, belongs to this group. It is comprised of researchers from the Instituto Tecnológico de Informática (ITI) of the Technical University of Valencia (UPV), and from the following universities: University of Valencia (UV), University Jaume I (UJI), University of Castilla-La Mancha (UCLM) and University of the Basque Country (EHU). The main areas of research are: Machine translation, automatic speech recognition and understanding, dialogue systems, text image recognition, computer vision, medical imaging, machine learning, data mining and biometrics. Read more
Robotics and Perception Group (RP-IRI)
The RP-IRI group is comprised of researchers of two groups: Artificial Vision and Intelligent Systems (2005-SGR-00937) and Robotics (2005-SGR-00038), from Spanish Scientific Research Council (CSIC) and the Technical University of Catalonia (UPC). The main areas of research are: Perception systems, mobile robotics and geometric methods in robotics. Read more
Pattern Recognition and Computer Vision Group (PRCV-UV)
The PRCV-UV group is comprised of researchers from the Universitat de València (UV). The main areas of research are: computational learning and pattern recognition, image analysis and visual information retrieval and robotics. Read more
Computational Intelligence Group (CIG-UPM)
The CIG-UPM group is comprised of researchers from the Universidad Politécnica de Madrid (UPM). The main areas of research are: data mining, bayesian networks, computer vision, multi-dimensional classification, interaction and optimization. Read more