227 citations · 794 across the 65 of their papers we have counts for
6 papers · 2 filters
Analysis of Multi-Scale Fractal Dimension to Classify Human Motion
Núbia Rosa da Silva, Odemir Martinez Bruno
In recent years there has been considerable interest in human action recognition. Several approaches have been developed in order to enhance the automatic video analysis. Although…
Image decomposition with anisotropic diffusion applied to leaf-texture analysis
Bruno Brandoli Machado, Wesley Nunes Gonçalves, Odemir Martinez Bruno
Texture analysis is an important field of investigation that has received a great deal of interest from computer vision community. In this paper, we propose a novel approach for te…
Spatiotemporal Gabor filters: a new method for dynamic texture recognition
Wesley Nunes Gonçalves, Bruno Brandoli Machado, Odemir Martinez Bruno
This paper presents a new method for dynamic texture recognition based on spatiotemporal Gabor filters. Dynamic textures have emerged as a new field of investigation that extends t…
Fractal and Multi-Scale Fractal Dimension analysis: a comparative study of Bouligand-Minkowski method
André Ricardo Backes, Odemir Martinez Bruno
Shape is one of the most important visual attributes to characterize objects, playing a important role in pattern recognition. There are various approaches to extract relevant info…
Enhancing Volumetric Bouligand-Minkowski Fractal Descriptors by using Functional Data Analysis
João Batista Florindo, Mário de Castro, Odemir Martinez Bruno
This work proposes and study the concept of Functional Data Analysis transform, applying it to the performance improving of volumetric Bouligand-Minkowski fractal descriptors. The…
Automatic system for counting cells with elliptical shape
Wesley Nunes Gonçalves, Odemir Martinez Bruno
This paper presents a new method for automatic quantification of ellipse-like cells in images, an important and challenging problem that has been studied by the computer vision com…