We propose a novel method for detecting and reconstructing tubular shapes in dense, noisy, occluded and unorganized point clouds. The STEP method (Snakes for ...

We propose a novel method for detecting and reconstructing tubular shapes in dense, noisy, occluded and unorganized point clouds.

We propose a novel method for detecting and reconstructing tubular shapes in dense, noisy, occluded and unorganized point clouds.

This work proposes an innovative method designed to separate leaf points from wood points in terrestrial LiDAR point clouds of trees based on deep learning ...

Bibliographic details on Extraction of tubular shapes from dense point clouds and application to tree reconstruction from laser scanned data.

May 20, 2017 · Fourner, Extraction of tubular shapes from dense point clouds and application to tree reconstruction from laser scanned data, Com- puters ...

This paper proposes a simple and efficient method for the reconstruction and extraction of geometric parameters from 3D tubular objects.

Extraction of tubular shapes from dense point clouds and application to tree reconstruction from laser scanned data · Joris RavagliaA. BacRichard A. Fournier.

This method contains extraction of tubular shapes from dense point clouds and application to tree reconstruction from laser scanned data. The approach is ...

Jun 8, 2021 · In their work, they superimpose a clean CAD model with the scanned data to guide the 3D extraction of noisy pipes and flanges. It focuses on ...