The Ball Pivoting Algorithm (BPA for short) is efficient in terms of execution time and storage requirements. It exhibited linear time performance on datasets consisting of millions of input samples.

The ball pivoting algorithm (BPA) [Bernardini1999] is a surface reconstruction method which is related to alpha shapes. Intuitively, think of a 3D ball with a given radius that we drop on the point cloud.

The Ball-Pivoting Algorithm (BPA) computes a triangle mesh interpolating a given point cloud. Typically, the points are surface samples acquired with multiple range scans of an object. The principle of the …

Python implementation of the ball-pivoting algorithm (BPA), which was published in 1999 by Bernardini [1]. Some ideas in this implementation were inspired by the implementation of Digne, which was …

The Ball Pivoting Algorithm (BPA) is an algorithm for surface reconstruction from 3D points. The algorithm uses a simple logic to decide how to build the mesh, based on pivoting a ball all along the …

The Ball-Pivoting Algorithm (BPA) [2] is a surface re-construction method that generates a triangular mesh from point clouds. The operational framework of the algorithm involves selecting three points to …

Noisy data Points “below” surface level are not touched by the pivoting ball and remain isolated (and are discarded by the algorithm). Due to missing data, the ball pivots around an edge until it touches a …

The Ball Pivoting Algorithm (BPA for short) is efficient in terms of execution time and storage requirements. It exhibited linear time performance on datasets consisting of millions of in-put samples.

Handles noise main contribution of the paper is a geometric linear-time algorithm for surface reconstruction from noisy data.

Abstract—The Ball-Pivoting Algorithm (BPA) computes a triangle mesh interpolating a given point cloud. Typically, the points are surface samples acquired with multiple range scans of an object. The …