João Do Espirito Santo Batista Neto

• Abstract

  Singularity theory deals with the study of singular varieties and mappings. It is a well established theory and gained wide interestdue to its applications to various areas of science and its interaction with several areas of mathematics. It has applications to, among others, optics, robotics and computer vision. The project has four central research directions: one deals with problems in…

  Singularity theory and its applications to differential geometry, differential equations and computer vision, AP.TEM

• Abstract

  The world's population expands rapidly and will reach 8,5 billion people in 2030, compared to 7.3 billion today, due to improvements in public health and reduction of child mortality. With such a significant growth of the world population, food supply becomes vital. Agriculture plays a vital role in providing food in society and the economy; however, monitoring soil nutrients for good pro…

  Agriculture in a POCT: precision agriculture using low-cost microfluidic Paper-based analytical devices for chemical analysis, AP.PITE
• Multidimensional visualization to support analysis of image collections, AR.BR

(Only some records are available in English at this moment)

• Abstract

  This proposal is part of the context of machine learning algorithms for estimating mean and Gaussian curvature, as a counterpoint to conventional geometric techniques. The research involves analysing and implementing regression algorithms trained from a feature vector containing information extracted from the 3D mesh (mapped as a graph), together with information used in the geometric cal…

  Curvature Estimation Using Machine Learning Algorithms, BP.IC

• Abstract

  One of the current challenges in the field of image processing and computer vision is the mapping of robust features between two-dimensional and three-dimensional spaces. This process can be simplified by reducing the amount of information when representing curves from points (called robust features or important points), so that they can be reconstructed using these with minimal error. In…

  3D Reconstruction of Human Faces: a Laplacian Approach, BP.IC

• Abstract

  The color representation of skin tones in images is often inaccurate, since various external factors, such as natural skin irregularities, differences in lighting sources and variations in the configuration of the imaging device, may lead to the generation of images with colors that are disproportionate to the real ones. However, the identification of human skin color is fundamental in va…

  Skin Tone Color Correction from mobile devices., BP.IC

(Only some records are available in English at this moment)

• Abstract

  This research project proposal is a requirement for a Research Internship Scholarship (BEPE) application, to be conducted at the University of California, Davis (UC Davis), USA, from September 1, 2015 to August 1, 2016. The work will be supervised by Prof. Bernd Hamann, from the Institute of Data Analysis and Visualization (IDAV). Computed Tomography plays a key role in Orthodontia, allow…

  3D segmentation of the head for assessing bone changes in odontology, BE.EP.DR

• Abstract

  Image segmentation plays an important role in many medical applications such as content-based image retrieval, detection of lesions, image registration, identification of structures for surgical simulation and image guided surgery. A wide variety of image segmentation methods can be found in the literature. Among those, there are some based on graphs, in which each node represents a pixel…

  Segmentation of medical images through complex networks, BE.PQ