Geoceles (© 2018 Sampsa Pursiainen) is a simple tool for finite element based forward and inverse simulations in geimaging of small planetary bodies. With Geoceles, one can segment a realistic multilayer geometry and generate a finite element mesh, if triangular surface grids (in ASCII DAT file format) are available. The current version also allows using a graphics card to speed up the mesh segmentation as well asforward (lead field) and inversion computations. Geoceles inherits from the Zeffiro Interface for Brain Imaging (© 2018 Sampsa Pursiainen).

A software package for solving (shape, spin)-distributions from asteroid populations, written in MATLAB. The main branch of the software package has been written to work with the Wide-field Infrared Survey Explorer (WISE) database. In case there is interest in it, we may release the branch intended to work with the Panoramic Survey Telescope and Rapid Response System (Pan-STARRS) database.

For more details, see the research paper LEADER: fast estimates of asteroid shape elongation and spin latitude distributions from scarce photometry by H. Nortunen and M. Kaasalainen.

This is a simple tool for finite element based EEG and MEG forward and inverse simulations. A spherical mesh with sensors is included as an example. With the interface, one can segment a realistic multilayer geometry and generate a finite element mesh, if triangular surface grids (in ASCII DAT file format) are available. As a special feature one can generate a time-lapse of inverse estimates for a given data sequence. An example is attached in the release. The current version also allows using a graphics card (GPU) to speed up the lead field and inversion computations. More detailed instructions are available.

Please refer to the studies listed in the MathWorks File Exchange page, if you use the interface for academic research. The project is ongoing. If you want to learn more about the interface, apply it for research or education, or are interested to develop it further please contact S. Pursiainen.

Blender addon for importing cylindrical quantitative structure models (QSM) and leaf models (L-QSM). QSM is a description of the topology and geometry of a tree. For example the TreeQSM method can be used to reconstruct QSMs for terrestrial laser scanning data. These tree models can be augmented with a leaf cover, with the QSM-FaNNI algorithm. The QSM-blender-addon can be used to import the resulting geometry from both procedures into Blender.

In the future the repository may be extended with additional addons related to QSMs. However, at the moment the repository only covers the import addon.

QSM-FaNNI can be used to generate a leaf cover for a quantitative structure model (QSM) of a tree. The shape of the leaves, as well as, their location, orientation and size can be controlled by the user. All leaves have identical basis geometry - currently the geometry can consist of any number of triangular faces - that is then manipulated by scaling, translation and rotation.

Matlab code for reconstructing Quantitative Structure Models (QSM) of single trees from laser scanner data. The input is a tree-level point cloud and the output is a collection of cylinders describing the geometric and topological structure of the tree.

Toolbox to generate morphological tree clones, additional materials and original data for the article A generator of morphological clones for plant species by I. Potapov, M. Järvenpää, M. Åkerblom, P. Raumonen, and M. Kaasalainen.