Faculty, Associate Professor
I received the M.Sc. degree in Computer Science in 2002 from the University of São Paulo, São Paulo, Brazil, and the Ph.D. degree in Computer Science in 2007 from the Federal University of Minas Gerais, Belo Horizonte, Brazil and the Ph.D. in image and signal processing from the University of Cergy-Pontoise, Paris, France. Currently, I am an associate professor at Federal University of Ouro Preto since 2009. My research interest focus on video and image processing, computer vision, pattern recognition and machine learning. I have projects related to gesture recognition, specially focus on brazilian sign language recognition.
Faculty, Associate Professor
I hold a degree in Physics from the University of São Paulo (1996), a master's degree and a doctorate in Computational Physics from the University of São Paulo (1998 and 2003). Currently I am an associate professor at the Federal University of Ouro Preto. I have experience in the area of Computer Science, with emphasis on Image Processing and Analysis, working mainly on the following topics: computer vision, image processing and computer simulation. I have projects related to the construction of computational tools capable of investigating images of microscopies in the areas of Materials and Biology
Collaborative and integrated environments of computer vision for knowledge extraction.
Collaborative framework for knowledge extraction from images - cervical cell case
Automatic Identification Aedes aegypti Eggs Number in Digital Images Using Neural Convolutional Networks
Laser-based machine vision method for defects detection in conveyor belts
A comparison of handcrafted features and deep learnig approach for ear recognition
Web developement of a public cervical cell image database aiming supporting cervical cancer analysis of Papsmear
The Image Processing Lab (LaPDI) is part of the Department of Computer Science at the Federal University of Ouro Preto. The research of our lab is focuses in the areas of Image Processing, Computer Vision and Machine Learning.
The main activities are related to: image and video analysis, biological image analysis, gesture recognition and video surveillance.