PLoS One: The Fiber Walk: A Model of Tip-Driven Growth with Lateral Expansion Download
IEEE GRSL: Breast height diameter estimation in high density airborne LiDAR data a novel concept to assess trees from the air. Download
Just finished. A short paper for IGARSS 2013 on detecting tree growth anomalies: DOWNLOAD
Our work in the News: Check out the Data Points Newsletter
New paper published: Localized registration of point clouds of botanic trees. DOWNLOAD (17th October 2012)
Wanna know about Fiber Walks?
Fiber Walks are self-avoiding random walks that include lateral expansion. Lateral expansion is perpendicular to the growth direction and constructed as a contraction of the square lattice in which a fiber is growing. The research of lateral expansion resulted in fascinating features like faster divergence from the origin compared to the unexpanded walk or the existence of areas where branching is necessary to reach them with a growth process.
The fiber walk is inspired by the growth of plant roots and parallels experimental discoveries as well as providing new theoretical discoveries.
If you like to read about the details check out our paper: PLoS One Link
If you want to play yourself then download the python demo: GitHub Link
We made a web page where you can interactively investigate the results of the CAMPINO Algorithm, which was our first skeletonization algorithm. You can turn around an example point cloud an see the distances to the skeleton in different resolutions. You need Java to be enabled in order to use the applet. Enjoy ! Link to applet.
"Revealing the skeleton from imperfect point clouds"
My P.h.D. research was carried out at chair of Optical And Laser Remote Sensing (OLRS) at the Delft University of Technology under the supervision of Roderik Lindenberg and Massimo Menenti.
Publisher: Dr.Hut, Munich, 2011.