output
20002026
most citedSpherically symmetric dissipative anisotropic fluids: A general study

326 citations

Showing cs.CVShow all

5 papers · 1 filter

cs.CV2021

Hyperspherical embedding for novel class classification

Rafael S. Pereira, Alexis Joly, Patrick Valduriez +1

Deep learning models have become increasingly useful in many different industries. On the domain of image classification, convolutional neural networks proved the ability to learn…

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.CV2018★ 3 cited

Towards a glaucoma risk index based on simulated hemodynamics from fundus images

José Ignacio Orlando, João Barbosa Breda, Karel van Keer +3

Glaucoma is the leading cause of irreversible but preventable blindness in the world. Its major treatable risk factor is the intra-ocular pressure, although other biomarkers are be…

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★ 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…