Spectral rendering The core of Luxrender is fully spectral. Unlike traditional rendering software, which only operates on distinct colors (such as red, green and blue), Luxrender uses individual wavelengths. This allows LuxRender to correctly deal with wavelength dependent effects, such as dispersion, or accurately capture the color of incandescent lights. It also makes the rendered images look more natural.
These images are hemispherical panoramas, taken as addition to my Virtualvienna Project. You can find there some of the panoramas as full panorama in a bigger size than here.
I joined the EVASION team in september 2006 in order to work on real time rendering of natural landscapes as a whole. I'm interested in the animation and realistic rendering of terrain, atmosphere, ocean, vegetation, rivers, clouds, etc. I'm looking for real-time and scalable algorithms allowing users to navigate freely anywhere in very large landscapes (up to whole planets), from ground to space, without visible transitions.
Great reference with many open-source useful plotting and visualization tools Over the years many different plotting modules and packages have been developed for Python. For most of that time there was no clear favorite package, but recently matplotlib has become the most widely used. Nevertheless, many of the others are still available and may suit your tastes or needs better. Some of these are interfaces to existing plotting libraries while others are Python-centered new implementations.
OpenDX is a uniquely powerful, full-featured software package for the visualization of scientific, engineering and analytical data: Its open system design is built on a standard interface environments. And its sophisticated data model provides users with great flexibility in creating visualizations.
Veusz is a GUI scientific plotting and graphing package. It is designed to produce publication-ready Postscript or PDF output. SVG, EMF and bitmap formats export are also supported. The program runs under Unix/Linux, Windows or Mac OS X, and binaries are provided. Data can be read from text, CSV or FITS files, and data can be manipulated or examined from within the application.
The NASA Vision Workbench (VW) is a general purpose image processing and computer vision library developed by the Autonomous Systems and Robotics (ASR) Area in the Intelligent Systems Division at the NASA Ames Research Center. VW has been publicly released under the terms of the NASA Open Source Software Agreement.
Delny is a Python package which can be used to make a Delaunay triangulation from a set of n-dimensional points. It is effectively a Python interface to libqhull, the C library of the Qhull program, but (currently) restricted to Delaunay triangulation. It was first developed to use in a mesh generator developed as dissertation at the University of Southampton with Hans Fangohr as supervisor. This very specific application area was the reason for the limited functionality of the libqhull wrapper, which in turn is likely the reason that there is useable code available.
The goal of the CGAL Open Source Project is to provide easy access to efficient and reliable geometric algorithms in the form of a C++ library. CGAL is used in various areas needing geometric computation, such as: computer graphics, scientific visualization, computer aided design and modeling, geographic information systems, molecular biology, medical imaging, robotics and motion planning, mesh generation, numerical methods... More on the projects using CGAL web page.