CV Lattes
Google Scholar Citations
Universidade Estadual de Campinas (UNICAMP). Instituto de Computação (IC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Associate Professor at the Institute of Computing, UNICAMP. Has an EE degree from Universidade Federal do Rio de Janeiro (1996), an M.Sc. in Computer Science from Pontifícia Universidade Católica do Rio de Janeiro (1997), a Ph.D. in Computer and Information Science from University of Pennsylvania (2002), and a posdoc at Rutgers University (2003). His main research interests lie in computer vision, computer graphics, artificial intelligence, and computational forensics. (Source: Lattes Curriculum)
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The goal of this project is to construct and validate a complete proof-of-concept assistive device for the blind and low-vision. The device is based on translating visual information into auditory information. The key problem in translating visual information into auditory is one of bandwidth, which is order of magnitudes higher in the visual system when compared to the auditory system. W…
(Only some records are available in English at this moment)
In 2011, World Health Organization estimated 39 million of blind people in the world. For these people, simple daily activities become hard tasks to perform and generally need some equipment to help them, since an ordinary cane up to an advanced technological equipment. The search for new auxiliary devices is constant and with this project we intend elaborate a prototype that, using a dep…
Image tampering detection is paramount nowadays. Digital image forensics encompasses the set of tools and techniques to verify authenticity and integrity of digital images with several applications in our life. For instance, we can deploy digital forensics solutions to improve the security on biometric systems such as face and fingerprint recognition where an attacker may want to have una…
During this short visit, we will start a long project of collaboration where we will use computer vision, computer graphics, and artificial intelligence to learn tridimensional deformable models from multiple views. The first step toward this objective will use three types of information: silhouettes, depth-from-discontinuities, and dense stereo to reconstruct the volumetric hull of the m…
| 4 / 4 | Completed research grants |
| 11 / 3 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 16 / 8 | All research grants and scholarships |
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