|Version 6 (modified by osg, 5 years ago)|
Please leave your details below if you are interested in volume rendering with the OpenSceneGraph, with a few notes about your project, what you'd like to see from the osgVolume development, and what you project/group might wish to help contribute to.
Guillaume Poirier <Guillaume.Poirier[at]nrc.ca> - Application development specialist. Interested in: Direct and indirect real-time volume rendering. Acceleration structures for volume rendering. Transparency issues. Non-photorealistic rendering of medical data. Multi-resolution texturing. Mixing DVR and IVR data. Labeling. Measurements.
Thorsten Holtkaemper <thorsten[DOT]holtkaemper[AT]iais[DOT]fraunhofer[DOT]de> - Technical manager of the VRGeo Consortium, which is a consortium for the oil&gas industry doing research on the use of virtual reality technology in modeling hydrocarbon reservoirs. With regard to the volume rendering of seismic data we are interested in non-photorealistic out-of-core technologies for very large data sets (multi-gigabyte). The maintenance of interactive frame rates is critical. Volume roaming, gradient shading, and on-the-fly iso-surface extraction are also of interest.
Ivan Macia <imacia[at]vicomtech.org> - Medical Imaging Software R&D from VICOMTech research centre, which is part of the INIGraphicsNet network. In the Biomedical Applications Group we develop medical imaging software for research or 3rd parties, both for clinical or educational purposes. Current projects that use volren include a PACS-DICOM viewer and a new project for a volren-based educational tool (not started). We have experience with ITK (segmentation) and some with VTK and DICOM. Regarding volren features we are interested in volren of large datasets (over 1000 slices) at interactive frame-rates, shading techniques, transfer functions (advanced TFs, automatic setting) and maybe some other things such as classification, illustrative volren and others. We may be interested too in some other application areas, such as weather doppler radar visualization.