Interactive Evolutionary 3D Fractal Modeling with Modified IFS

IFS Fractal Interpolation for 2D and 3D Visualization

Craig M. Wittenbrink Baskin Center for Computer Engineering & Information Sciences University of California, Santa Cruz Santa Cruz, CA 95064 USA Abstract Reconstruction is used frequently in visualization of one, two, and three{dimensional data. Data uncertainty is typically ignored, and a de ciency of many interpolation schemes is smoothing which may indicate features or characteristics of the...

Fractal Compression of Images with Projected Ifs

Standard fractal image compression, proposed by Jacquin[1], is based on IFS (Iterated Function Systems) defined in R. This modelization implies restrictions in the set of images being able to be compressed. These images have to be self similar in R. We propose a new model, the projected IFS, to approximate and code grey level images. This model has the ability to define affine IFS in a high dim...

Fractal Measures for Parabolic Ifs

Fractal Evolver: Interactive Evolutionary Design of Fractals with Grid Computing

Interactive Evolutionary Computing is a powerful methodology that can be incorporated into the creative design process. However, for such a system to be useful, the evolutionary process should be simple to understand and easy to operate. This is especially true in applications where it is difficult to create a mathematical formula or model of the fitness evaluation, or where the quality of the ...

Interactive Inverse 3D Modeling

“Interactive Inverse 3D Modeling” is a user-guided approach to shape construction and redesign that extracts well-structured, parameterized, procedural descriptions from unstructured, hierarchically flat input data, such as point clouds, boundary representation meshes, or even multiple pictorial views of a given inspirational prototype. This approach combines traditional “forward” 3D modeling t...