Emmanuel Maggiori

Intern, INRIA Sophia Antipolis

Keywords: Spectral-spatial image processing, Hyperspectral imaging, Remote sensing, Binary Partition Trees, Shape Features

Contact:
Mail: emmanueldotmaggioriatinriadotfr
Phone: (33)4-89-73-24-43
Fax: (33)4-92-38-76-43
Postal address: INRIA Sophia Antipolis , 2004, route des Lucioles, 06902 Sophia Antipolis Cedex, France

Abstract:

My work at Inria has to do with spectral-spatial methods in image processing. In particular, Binary Partition Trees are an efficient and effective structure to hierarchically represent the regions of an image in a multiscale manner. My main goal is to enhance these trees by efficiently computing and storing shape features in their nodes, hence being able to do more complex queries on the trees by including shape restrictions. This might lead to an increase of the accuracy for some applications, which will be evaluated in the context of hyperspectral remote sensing imagery.

Short Bio:

Emmanuel Maggiori is an Engineering student in the area of computer science at UNCPBA, Tandil, Argentina. His Thesis is related to perceptually-geared noise reduction in images. In 2013 he finished his undergraduate studies attaining the Computer Programmer and Analyst qualification at the same institution. In May 2014, Emmanuel joined Inria as an intern at AYIN and STARS teams.

His main areas of interest are Image and Signal Processing, Computer Vision and Scientific Computing in general.