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.
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.
FUBAR uses the statistical technique "Kriging" to rescale images with an global geometric pattern, called the variogram.
The image can be infinitely rescaled: the estimates ('o' on the left figure) are calculated from five neighbouring samples of the source image ('+' on the left figure). The image is 'noisy' because each pixel is a realization of the estimated value. In other words, each pixel is a random value with a mean and a variance from the local distribution. By changing the variogram (press 'v') or the variance multiplier, it is possible to control that variance.
Clicking the left mouse button zooms in on the image and right-click zooms the image back out. Press SPACEBAR to accept the current realization as the 'source image' -this will reduce noise at small scales.
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.
The GIMP (GNU Image Manipulation Program) is a freely distributed program for such tasks as photo retouching, image composition and image authoring. It has many capabilities. It can be used as a simple paint program, an expert quality photo retouching program, an online batch processing system, a mass production image renderer, an image format converter, etc.
MeshLab is an open source, portable, and extensible system for the processing and editing of unstructured 3D triangular meshes. The system is aimed to help the processing of the typical not-so-small unstructured models arising in 3D scanning, providing a set of tools for editing, cleaning, healing, inspecting, rendering and converting this kind of meshes.
Drawing Together: This project aims to create an archive of user contributed clip art that can be freely used. All graphics submitted to the project should be placed into the Public Domain according to the statement by the Creative Commons. If you'd like to help out, please join the mailing list, and review the archives.
Vis5d+ is intended as a central repository for enhanced versions and development work on Vis5d, a free OpenGL-based volumetric visualization program for scientific datasets in 3+ dimensions. This project started out, with the blessing of the original Vis5d developers, as a conversion of Vis5d's build process to use GNU autoconf and automake. (Inspired by the difficulty of getting Vis5d to compile on the author's LinuxPPC PowerBook.) It quickly became apparent that many other enhancements were possible, and were of wide interest to users. Moreover, a large number of enhanced versions to Vis5d exist that have not been merged into the original Vis5d sources, due to time and resource limitations of the original developers, or to differences of opinion about design directions