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资源说明：A graphical tool for the reconstruction of botanical trees from point cloud data
======== PypeTree ======== **PypeTree** is a Python_ and VTK_-based tool with an innovative UI for the reconstruction and modeling of botanical trees from point cloud data (e.g. acquired from T-LiDAR devices). From a set of scattered 3d points, it can produce a set of truncated cones fitting them in the most likely way. At any moment during the process, the user can intervene by manipulating the model primitives to perform some adjustments (to create, delete, resize or move a branch, for instance). The development of PypeTree was funded by a FQRNT_ and NSERC_ grant obtained by `Sylvain Delagrange`_. It was created by `Christian Jauvin`_, `Sylvain Delagrange`_ and `Pascal Rochon`_. An article_ describing PypeTree and its development process has been published in the Sensors_ journal. .. _Python: http://www.python.org .. _VTK: http://www.vtk.org .. _FQRNT: http://www.fqrnt.gouv.qc.ca .. _NSERC: http://www.nserc-crsng.gc.ca/ .. _Christian Jauvin: http://christianjauv.in .. _Sylvain Delagrange: http://services.uqo.ca/DosEtuCorpsProf/PageProfesseur.aspx?id=sylvain.delagrange .. _Pascal Rochon: http://www.cef-cfr.ca/index.php?n=Membres.PascalRochon .. _article: http://dx.doi.org/10.3390/s140304271 .. _Sensors: http://www.mdpi.com/journal/sensors Features -------- * Connectivity/geodesic-based reconstruction algorithm .. image:: https://raw.github.com/cjauvin/pypetree/gh-pages/_images/pp_features_recon.png * Creation and sampling of artificial models based on L-system_ rules .. _L-system: http://en.wikipedia.org/L-system .. image:: https://raw.github.com/cjauvin/pypetree/gh-pages/_images/pp_features_lsys.png * Point cloud manipulation tools (here is an example of *geodesic clipping* of a point cloud, where the branches of its underlying tree model are cut above a threshold distance in its geodesic space) .. image:: https://raw.github.com/cjauvin/pypetree/gh-pages/_images/pp_features_geoclip.png * And much more! Documentation ------------- Please consult the documentation_ for an overview of how it works and how to install it. .. _documentation: http://cjauvin.github.io/pypetree/
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