Sigmoid Curve Erf

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Michel Alves

[My Gallery of Graphs] Mastering the art of building classic and stylish graphics in R: Sigmoid Erf

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Wave Simulation Using Perlin Noise. In this short demo we use the technique called fractal noise generation 'Perlin Noise' for obtaining an effect of waves in a tank with water. Perlin noise is a computer-generated visual effect developed by Ken Perlin, who won an Academy Award for Technical Achievement for inventing it. It can be used to simulate elements from nature, and is especially useful in circumstances where computer memory is limited. Essentially, perlin noise is a procedural texture primitive, a type of gradient noise used by visual effects artists to increase the appearance of realism in computer graphics. The function has a pseudo-random appearance, yet all of its visual details are the same size. Perlin noise is most commonly implemented as a two-, three- or four-dimensional function, but can be defined for any number of dimensions. In this short demo we use the technique called fractal noise generation 'Perlin Noise' for obtaining an effect of waves in a tank with water.

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Capacity-Constrained Point Distributions :: Video Slides

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In this presentation, we will speak about the main idea of the article entitled 'Capacity-Constrained Point Distributions: A Variant of Lloyd's Method' [Balzer, M. et al. 2009] and we will show some results obtained by applying of this method. In the aforementioned article the authors present a new general-purpose method for optimizing existing point sets. The resulting distributions possess high-quality blue noise characteristics and adapt precisely to given density functions. Among the results we can highlight the generation of distributions using samples guided by functions of type z=f(x, y) and samples from images (simulating stippling technique).

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Five Minute Speech: An Overview of Activities Developed in Disciplines and Guided Studies. In this presentation, I showed an overview of works and activities developed in the last disciplines and guided studies. Among these activites I can highlight the results obtained by applying the CCPD method (Capacity-Constrained Point Distributions, a varyant of Lloyd's method), increase of proficiency in the use of scientific tools for numerical computation and selection of major bibliographies for possible dissertation themes.

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Central core of the proposed framework. The library is composed of a core of generic representation of images (RGB or RGBA type), a core of spatial filtering, a core for manipulating borders (used mostly by the spatial filter) and a core of similarity metrics. The cores related to spectral filters and metrics for evaluating the quality of images, still in development, should be added in an upcoming release. The implementation of 'MyImageLibrary' has, in principle, purely didactic intent.

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