Practical ray tracing in C
Reconstructing 3D Tree Models from Instrumented Photographs
IEEE Computer Graphics and Applications
Using EM to Learn 3D Models of Indoor Environments with Mobile Robots
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
ACM SIGGRAPH 2007 papers
Knowledge and heuristic-based modeling of laser-scanned trees
ACM Transactions on Graphics (TOG)
Extraction of 3D unfoliaged trees from image sequences via a generative statistical approach
Proceedings of the 29th DAGM conference on Pattern recognition
On the use of depth camera for 3D phenotyping of entire plants
Computers and Electronics in Agriculture
Towards an automated 3d reconstruction of plant architecture
AGTIVE'11 Proceedings of the 4th international conference on Applications of Graph Transformations with Industrial Relevance
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We present a method for reconstructing 3D models of tree branch structure from laser range data. Our approach is probabilistic, and uses general knowledge of tree structure to guide an iterative reconstruction process. Our goal is to recover parameters such as branch locations, angles, radii, and lengths, as well as connectivity information between branches. These parameters can then be fed into functional-structural plant models to study the relationships between the structure of a plant, its environment, and its internal biology. In this paper we present an algorithm for finding these parameters, and results on both simulated and real datasets.