circleFit

<code><a rd-options="lidR:LAS" href="/link/LAS?package=TreeLS&version=2.0.2&to=lidR%3ALAS" data-mini-rdoc="lidR:LAS::LAS">LAS</a></code> object.

method for estimating the circle parameters. Currently available: <code>"qr"</code>, <code>"nm"</code>, <code>"irls"</code> and <code>"ransac"</code>.

method

<code>numeric</code> - number of points selected on every RANSAC iteration.

<code>numeric</code> - expected proportion of inliers among stem segments' point cloud chunks.

inliers

<code>numeric</code> - confidence level.

conf

<code>integer</code> - estimate optimal RANSAC parameters as the median of the <code>n_best</code> estimations with lowest error.

n_best

Fits a 2D horizontally-aligned circle on a set of 3D points.

High performance algorithms for manipulation of terrestrial 'LiDAR' (but not only) point clouds for use in research and forest monitoring applications, being fully compatible with the 'LAS' infrastructure of 'lidR'. For in depth descriptions of stem denoising and segmentation algorithms refer to Conto et al. (2017) <doi:10.1016/j.compag.2017.10.019>.

Tiago de Conto

TreeLS

Terrestrial Point Cloud Processing of Forest Data

circleFit function

<code><a rd-options='lidR:LAS' href='LAS'>LAS</a></code> object.

circleFit: Point cloud circle fit

Description

Usage

Arguments

Value