---
title: "Structured vs. Unstructured Point Cloud Data"
slug: "cyclone-register-360-structured-vs-unstructured-point-cloud-data"
updated: 2026-08-04T12:42:15Z
published: 2026-09-07T11:32:06Z
canonical: "rcdocs.leica-geosystems.com/cyclone-register-360-structured-vs-unstructured-point-cloud-data"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://rcdocs.leica-geosystems.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Structured vs. Unstructured Point Cloud Data

Point clouds are a type of 3D reality capture data consisting of individual points, each with a specific position in space (X, Y, Z), and usually additional attributes like colour, intensity, surface normal, classification, etc. They are used to capture and represent real-world objects and environments, such as buildings, landscapes, equipment, etc. There are two primary types of point clouds: structured and unstructured.