Unsupervised TOF Image Segmentation through Spectral Clustering and Region Merging

Autor: Luciano Lorenti, Javier Giacomantone, Oscar Bria

Publikováno v: Journal of Computer Science and Technology, Vol 18, Iss 02, Pp e11-e11 (2018)

Time of Flight (TOF) cameras generate two simultaneous images, one of intensity and one of range. This allows to tackle segmentation problems in which the separate use of intensity or range information is not enough to extract objects of interest fro

Externí odkaz: https://doaj.org/article/b1bf6f65f7db4960adb511cf675ae41c

Compound Interleaving Scheduling for SLM Transactions in Mode S Surveillance Radar

Autor: Javier Giacomantone, Horacio A. Villagarcía Wanza, Oscar N. Bria

Publikováno v: Communications in Computer and Information Science ISBN: 9783030207861
CACIC

Mode S Secondary Surveillance Radar establishes selective and univocally addressed transactions with aircrafts while possible using efficiently the available budgets of time. Obtaining the last benefit is key to supporting high-traffic density within

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::93b7d2ffefa6f5770b0c70111177cd95
https://doi.org/10.1007/978-3-030-20787-8_21

Background Subtraction for Time of Flight Imaging

Autor: Luciano Lorenti, Javier Giacomantone, María Lucía Violini

Publikováno v: Journal of Computer Science and Technology, Vol 17, Iss 02, Pp e18-e18 (2017)
SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
CIC Digital (CICBA)
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA

A time of flight camera provides two types of images simultaneously, depth and intensity. In this paper a computational method for background subtraction, combining both images or fast sequences of images, is proposed. The background model is based o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daeb33bf8ed61c4c372a8519d3e05cc0
https://journal.info.unlp.edu.ar/JCST/article/view/438

Ressonância magnética funcional com filtragem pela difusão anisotrópica robusta

Autor: Javier Giacomantone

Publikováno v: Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP

Esta dissertação apresenta os principais métodos estatísticos para analisar as séries temporais de fMRI com o objetivo de detectar regiões ativadas e caracterizar o erro envolvido nessa decisão. Na análise de imagens funcionais, devido à bai

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c8aa733339594b963eea981df16bf4c
https://doi.org/10.11606/d.3.2005.tde-01112005-200330

A new technique to obtain clear statistical parametric map by applying anisotropic diffusion to fMRI

Autor: Hae Yong Kim, Javier Giacomantone

Publikováno v: ICIP (3)

This paper presents a new, simple and elegant technique to improve the detection of brain regions with increased neuronal activity in functional magnetic resonance imaging (fMRI). This technique is based on the robust anisotropic diffusion (RAD). A d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a70cc5d21486beef7260ce4628ba4d21
https://doi.org/10.1109/icip.2005.1530494