Description
Synthetic Crook Deformations in Stem Point Clouds.
Description
Simulates parameterized single- and double-directional stem deformations in tree point clouds derived from terrestrial or mobile laser scanning, enabling the generation of realistic synthetic datasets for training and validating machine learning models in wood defect detection, quality assessment, and precision forestry. For more details see Pires (2025) <doi:10.54612/a.7hln0kr0ta>.
README.md
crookR
crookR is a tool to simulate “crook” deformations on tree stems from LiDAR-derived stem point clouds.
Installation
You can install the package like:
install.packages("crookR")
Example
library(crookR)
library(lidR)
data(example_stem)
Crooked_Stem <- crook_deform(example_stem)
#Turn the data.table into a LAS file for visualization
Crooked_Stem_PC <- LAS(Crooked_Stem)
plot(Crooked_Stem_PC)