A point cloud is a set of data points in a three-dimensional coordinate system defined by X, Y, Z coordinates. Reality capture devices and techniques such as photogrammetry and Lidar usually enable ...

Point cloud data can be a powerful asset in improving the accuracy, efficiency, and quality of your construction projects. With this data, you can create realistic 3D models of existing buildings ...

This repository contains research and implementation of a deep learning-based approach for the semantic segmentation of 3D point clouds. The primary objective is to classify point cloud data captured ...

Point clouds, 3D data representations, are efficiently harnessed by PointNet models, bypassing size-inflating transformations. This example demonstrates PointNet's prowess in shape segmentation, ...

In only a few minutes I could load our training data and render or classify the points by elevation, different returns, pointIDs, point intensity, among other options. Contours and the creation of a ...

OpenAI has released Point-E, an open source AI system that can generate 3D point clouds given a text prompt. The next breakthrough to take the AI world by storm might be 3D model generators.

This paper presents 3D model based industrial ladder tracking using vision and laser point cloud data for the ladder climbing task of a humanoid robot ATLAS in the DARPA Robotics Challenge. A virtual ...

Finding meaningful, structured representations of 3D point cloud data (PCD) has become a core task for spatial perception applications. In this paper we introduce a method for constructing compact ...

It will then run that generated image through a series of diffusion models to create the 3D, RGB point cloud of the initial image — first producing a coarse 1,024-point cloud model, ...