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OpenCV is an open source computer vision library originally developed by Intel. It is free for commercial and research use under a BSD license. The library is cross-platform, and runs on Mac OS X, Windows and Linux. It focuses mainly towards real-time image processing, as such, if it finds Intel's Integrated Performance Primitives on the system, it will use these commercial optimized routines to accelerate itself. This implementation is not a complete port of OpenCV. Currently, this library supports : * real-time capture * video file import * basic image treatment (brightness, contrast, threshold, …) * object detection (face, body, …) * blob detection Future versions will include more advanced functions such as motion analysis, object and color tracking, multiple OpenCV object instances … For more information about OpenCV visit the Open Source Computer Vision Library Intel webpage, the OpenCV Library Wiki, and the OpenCV Reference Manual (pdf).

What is WebcamStudio? Your own TV studio in your computer for broadcasting thru a virtual webcam. Mix multiple video source as webcams, movies, images, your desktop and log in your prefered video streaming site like Stikam or BlogTV and start your own show or video blog with: - Cool Special Effects - Text overlay - Video Source transition/rotation/movement... - Animations and Faces! - A webcam at your own image See the features! Why for GNU/Linux? Because there are no solution for Linux and Windows users already have acces to this kind of software. And mostly because I use a lot of Linux technologies that are not available under Microsoft Windows. (Sorry guys!) Based on... * Gstreamer libraries and plugins * gstreamer-java libraries * Java 6 (from Sun)

UCSF Chimera is a highly extensible program for interactive visualization and analysis of molecular structures and related data, including density maps, supramolecular assemblies, sequence alignments, docking results, trajectories, and conformational ensembles. High-quality images and animations can be generated. Chimera includes complete documentation and several tutorials, and can be downloaded free of charge for academic, government, non-profit, and personal use. Chimera is developed by the Resource for Biocomputing, Visualization, and Informatics and funded by the NIH National Center for Research Resources (grant P41-RR01081).

The Open Computer Vision Library has > 500 algorithms, documentation and sample code for real time computer vision. Tutorial documentation is in O'Reilly Book: Learning OpenCV http://www.amazon.com/Learning-OpenCV-Computer-Vision-Library/dp/0596516134