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20032020
most citedGenetic Algorithms and Quantum Computation

18 citations · 36 across the 14 of their papers we have counts for

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6 papers · 1 filter

cs.CV2020★ 2 cited

Applying Lie Groups Approaches for Rigid Registration of Point Clouds

Liliane Rodrigues de Almeida, Gilson A. Giraldi, Marcelo Bernardes Vieira

In the last decades, some literature appeared using the Lie groups theory to solve problems in computer vision. On the other hand, Lie algebraic representations of the transformati…

cs.CV2017

Is human face processing a feature- or pattern-based task? Evidence using a unified computational method driven by eye movements

Carlos E. Thomaz, Vagner Amaral, Gilson A. Giraldi +2

Research on human face processing using eye movements has provided evidence that we recognize face images successfully focusing our visual attention on a few inner facial regions,…

cs.CV2016★ 4 cited

Fourier Analysis and q-Gaussian Functions: Analytical and Numerical Results

Paulo Sérgio Silva Rodrigues, Gilson Antonio Giraldi

It is a consensus in signal processing that the Gaussian kernel and its partial derivatives enable the development of robust algorithms for feature detection. Fourier analysis and…

cs.CV2006

Fourier Analysis and Holographic Representations of 1D and 2D Signals

G. A. Giraldi, B. F. Moutinho, D. M. L. de Carvalho +1

In this paper, we focus on Fourier analysis and holographic transforms for signal representation. For instance, in the case of image processing, the holographic representation has…

cs.CV2005★ 6 cited

Convexity Analysis of Snake Models Based on Hamiltonian Formulation

Gilson Antonio Giraldi, Antonio Alberto Fernandes de Oliveira

This paper presents a convexity analysis for the dynamic snake model based on the Potential Energy functional and the Hamiltonian formulation of the classical mechanics. First we s…

cs.CV2005★ 1 cited

Gradient Vector Flow Models for Boundary Extraction in 2D Images

Gilson A. Giraldi, Leandro S. Marturelli, Paulo S. Rodrigues

The Gradient Vector Flow (GVF) is a vector diffusion approach based on Partial Differential Equations (PDEs). This method has been applied together with snake models for boundary e…