POINTCLOUD
Pointcloud is a developer of a 3D imaging platform on a chip. The company offers a technology for big data analytics on 3D point clouds based on machine learning. It enables the future of augmented reality, robotics, and autonomous mobility.
POINTCLOUD
Social Links:
Industry:
3D Technology Analytics Information Technology Manufacturing Nanotechnology Software
Founded:
2017-01-06
Address:
San Francisco, California, United States
Country:
United States
Website Url:
http://www.point.cloud
Total Employee:
1+
Status:
Active
Email Addresses:
[email protected]
Total Funding:
4.4 M USD
Technology used in webpage:
SPF IPv6 Google Apps For Business Google Google DNS Google Domains Google Cloud DNS
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Current Employees Featured
Founder
Investors List
Heuristic Capital
Heuristic Capital investment in Seed Round - Pointcloud
Taihill Venture
Taihill Venture investment in Seed Round - Pointcloud
Baidu Ventures
Baidu Ventures investment in Seed Round - Pointcloud
Propel(X)
Propel(X) investment in Seed Round - Pointcloud
Liquid 2 Ventures
Liquid 2 Ventures investment in Seed Round - Pointcloud
Newton Fund
Newton Fund investment in Seed Round - Pointcloud
Official Site Inspections
http://www.point.cloud
- Host name: 52.14.198.104.bc.googleusercontent.com
- IP address: 104.198.14.52
- Location: Mountain View United States
- Latitude: 37.4043
- Longitude: -122.0748
- Metro Code: 807
- Timezone: America/Los_Angeles
- Postal: 94043
More informations about "Pointcloud" on Search Engine
Point cloud - Wikipedia
A point cloud is a discrete set of data points in space. The points may represent a 3D shape or object. Each point position has its set of Cartesian coordinates (X, Y, Z). [1] โฆSee details»
What are Organized and Unorganized Point Clouds?
Organized point clouds are M -by- N -by-3 arrays, with the three channels representing the x -, y -, and z - coordinates of the points. Unorganized point clouds are M -by-3 โฆSee details»
Point Cloud Library - Wikipedia
Website. pointclouds .org. The Point Cloud Library ( PCL) is an open-source library of algorithms for point cloud processing tasks and 3D geometry processing, such as occur โฆSee details»
Article: An Introduction to Pointclouds - Unmanned Systems โฆ
What is a pointcloud? A pointcloud is a collection of points in 3D space, with each point being given a coordinate in Cartesian convention. The points can also be given other โฆSee details»
Getting Started / Basic Structures - Point Cloud Library
An organized point cloud dataset is the name given to point clouds that resemble an organized image (or matrix) like structure, where the data is split into rows and โฆSee details»
Organizing and visualizing point clouds with continuous levels of ...
Point clouds contain high detail and high accuracy geometry representation of the scanned Earth surface parts. To manage the huge amount of data, the point clouds are โฆSee details»
Introduction to Point Cloud Processing - Better Programming
A point cloud is a 3D representation suitable for processing real-world data, especially when the geometry of the scene/objects is required, such as the distance, the shape and the โฆSee details»
Can anyone explain the difference between organized and โฆ
377 2 7 18. 4 Answers. Sorted by: 20. See the notes on this page on HEIGHT and WIDTH of a point cloud: Point Cloud File Format. An organised point cloud is organized as a โฆSee details»
GitHub - enesgokdemir/visualize-point-clouds: Introduction to โฆ
Introduction to Point Cloud Processing. How to create and visualize point clouds. โPoint Cloud Processingโ tutorial is beginner-friendly in which we will simply introduce the point โฆSee details»
Point Cloud Library (PCL): Module common
Detailed Description Overview. The pcl_common library contains the common data structures and methods used by the majority of PCL libraries. The core data structures โฆSee details»
pointcloud
Products. Pointcloudโs Surnia platform provides high-density point clouds as high as 640x480 points per frame, industry-leading sub-millimeter depth accuracy that is โฆSee details»
Point-set registration - Wikipedia
In computer vision, pattern recognition, and robotics, point-set registration, also known as point-cloud registration or scan matching, is the process of finding a spatial โฆSee details»
Point Cloud Technology Home Page โข Point Cloud Technology โฆ
Upload point clouds & directly start analyzing/sharing/measuring/ โฆ on 3dpointhub.com THE POWER OF POINT CLOUDS 3D point clouds serve as precise models of reality ...See details»
Pointcloud - Crunchbase Company Profile & Funding
Company Type For Profit. Contact Email [email protected]. Pointcloud is a developer of a 3D imaging platform on a chip. The company offers a technology for big data analytics โฆSee details»
Point Cloud Library (PCL): pcl::PointCloud< PointT > Singleton โฆ
PointCloud represents the base class in PCL for storing collections of 3D points. The class is templated, which means you need to specify the type of data that it should contain. โฆSee details»
Point Cloud Episodes | Supervisely
๐ Data Organization. Core concepts. Projects. Team Files. Data usage & Cleanup. Operations with Data Data Commander. ๐ Labeling. Labeling Toolboxes ...See details»
Pointcloud - Funding, Financials, Valuation & Investors
Pointcloud has raised a total of. $4.4M. in funding over 2 rounds. Their latest funding was raised on Sep 25, 2020 from a Seed round. Pointcloud is funded by 6 investors. โฆSee details»
Plane model segmentation - Point Cloud Library
In this tutorial we will learn how to do a simple plane segmentation of a set of points, that is to find all the points within a point cloud that support a plane model. This tutorial โฆSee details»
Pointcloud - Tech Stack, Apps, Patents & Trademarks - Crunchbase
Organization. Pointcloud. Connect to CRM. Summary Financials People Technology Signals & News Similar Companies. Highlights. Active Tech Count 7. About. Pointcloud โฆSee details»
Concatenate the points of two Point Clouds
In this tutorial we will learn how to concatenate the points of two different point clouds. The constraint imposed here is that the type and number of fields in the two datasets have to โฆSee details»