The objectives of this research work are:
- Evaluate state-of-the-art technologies for speaker recognition.
- Investigate multimodal fusion techniques.
- Develop and test a prototype of a speaker recognition system.
- Integrate speaker recognition into the face recognition prototype existing in Computer Vision Laboratory – LVC.
The Brazilian Visualization Network (RVA), whose general coordination is under the Brazilian National Laboratory of Scientific Computation (LNCC), is part of the Brazilian Technology System (SIBRATEC) of the Ministry of Science, Technology and Information (MCTI). The RVA aims at the integration of the academy to foster the innovation and creation of new markets for technological products and services. Beyond LNCC, the RVA involves the following institutions: PUC-Rio, PUC-RS, UFRS, UFPE, UFPB, INPE, USP, UFRJ e UNICAMP, whereby LNCC, UFRJ, PUC-RS, UFPE, USP and PUC-Rio constitute the so called Coordination Nucleus of RVA.
The project “Tools for Open Multi-Risk Assessment using Earth Observation Data” (TOLOMEO) is funded under the Marie Curie International Research Staff Exchange Scheme (PIRSES-GA-2009) with the ultimate goal to establish an international cooperation between partners in Europe and South-America focused on the development of free tools for remotely sensed data analysis.
Read more at TOLOMEO
This project aims to develop technology of video surveillance with automatic facial identification, developing facial recognition techniques from video sequences that integrate methods and tools that allow:
- To detect and track faces in real time based on video sequences,
- To extract frontal facial images in real time based on video sequences, with good quality for recognition,
- To build a prototype of automatic video monitoring.
Read more at Video Surveillance
An open source knowledge based framework for automatic image interpretation.
Read more at InterIMAGE
The project objective is the protection of forest areas by developing a system of satellite monitoring of the hillsides of Rio de Janeiro.
Read more at PIMAR
The face recognition prototype.
Read more at FacePUC
The main objective of this project is to develop automatic methods to detect and visualize in three dimensions liver structures using monophasic sequences of computer tomography images.
Read more at 3DLiver
The objective of this project is to develop a new 3D region growing segmentation that uses others features besides the intensity of voxels.
Read more at Nodules
Evaluate the potential of Hidden Markov Models for crop area estimation from remote sensing temporal image sequences.
Read more at Hidden Markov Models Applied in Crop Area Estimation Using Satellite Images
The general objective of this project is the development of an automatic method to monitor the horizontal and vertical change of urban settlements and forests in Brazil. The selected test area is Rio de Janeiro, because in Rio such changes take place at a rapid pace, and data necessary to carry out the project such as aerial imagery, GIS census and topographic data, can be made available to the project through local contacts.
Read more at M4
The objective of the ECOWATCH cooperation is to investigate methodologies for the construction of remote sensing software tools that performs automatically many of the image interpretation tasks, which are usually done by a photo-interpreter.
Read more at ECOWATCH
This project intents to develop a free distribution software for image interpretation based on GeoAIDA, a project originally developed at the Hanover University, and make it available in an open source library (TerraLib) currently being built by INPE in partnership with PUC-Rio.
Read more at InterKB
The general objective of this work is to develop a people identification system through images of the iris. It is intended to improve and to extend the work carried through in the scope of another defended dissertation.
Read more at IRec