1. Reality Capture Educational License Archives 2018
  2. Reality Capture Educational License Archives 2017

Our latest report, ‘Addressing the Deepening Digital Divide', explores the digital divide in education, and how it has deepened during the Covid-19 pandemic. More about Address Evolve Knowledge and learning underpin the progress we make, as individuals and as a society. The world—and the needs of education and research—are constantly. RealityCapture is the state-of-the-art photogrammetry software solution that is changing the industry. It is currently the fastest solution on the market, which brings effectivity to your work and allows you to focus on your targets. Create virtual reality scenes, textured 3D meshes, orthographic projections, geo-referenced maps. A podcast, video series, educational platform, and global community. The Reality Capture Network is the largest network of 3d reality capture professionals, designed to connect businesses, technology, industry leaders, and entrepreneurs with a passion for or interest in 3d technologies. The goal of RCN is to educate, inform, train, and provide.

Reality Capture Educational License Archives 2018

Photogrammetry software provider Capturing Reality announced a new educational license.

Capturing Reality is Joining Epic Games! We are excited that we are now part of the Epic Games family, an industry leader in interactive entertainment and 3D engine development. By joining Epic we will be able to make our world class photogrammetry technology more accessible. Leica Cyclone REGISTER 360 is the latest upgrade to the number one point cloud registration software, Cyclone REGISTER.This all-new product built from the ground-up brings with it all-new capabilities from simple, guided workflows to automated registration and client-ready deliverables with the click of a.

Capturing Reality is the company, but RealityCapture is their software tool. It’s a highly-regarded photogrammetry toolset that provides outstanding scan results in very rapid time. A few months ago Capturing Reality was acquired by Epic Games.

Photogrammetry is an increasingly popular method of 3D scanning in which still images of a subject taken from a variety of angles are processed by the software to identify the precise location of all points within a 3D scene.

The RealityCapture software is used by many in the 3D print community to develop accurate 3D models as an alternative to using dedicated 3D scanning hardware: photogrammetry requires only images that can be captured by almost any camera.

Here’s a video example of how it can be used:

Unlike most other photogrammetry products, RealityCapture is priced in an unusual manner. Currently they use a credit system, but as late as last fall they offered monthly subscription fees that, frankly, seemed a little steep at €249 (US$293) per month — and that was for the basic version. The more advanced version capable of handling larger amounts of data was priced at €750 (US$884) per month. While they did offer a credit system back then, it seemed still to expensive for my meagre budget.

These days they seem to be fully into the credit system. You can buy 3500 credits for US$10, 8000 credits for US$20 or a whopping US$3,750 for a one-time, unlimited license. To put that in perspective, Agisoft’s Metashape license is a one-time fee of US$179 for the basic license and US$3499 for their “Professional Edition”.

If you’re a bit confused about the credits, don’t be: they map to certain values of scan points, and you consume them as you scan (the credits don’t expire). Your consumption of credits depends on several factors:

  • The size of the images
  • The number of images
  • The number of scan points requested
  • The frequency of scan jobs

As you can tell, pricing of scanning software in this way is complex. Regardless, it’s also expensive, particularly for educational institutions with budget constraints. Those institutions performing photogrammetry might have acquired alternate tools because of this.

However, Capturing Reality now apparently offers “academic pricing”. This pricing level requires agreement to certain terms, including:

  • The software is used solely for educational / teaching purposes
  • 3D models produced must be marked with “created using RealityCapture software by Capturing Reality”
  • Capturing Reality logo display on educational institution’s website
  • Use of institution’s logos on reseller websites
  • Sharing of data captured, research produced with Capturing Reality

Those are pretty stiff terms, but in exchange, Capturing Reality will provide a “complementary RealityCapture license”. It appears that the software would be available at no charge under this program.

License

That’s good news for educational institutions, who may now participate with this excellent software tool. It is also good news for Capturing Reality, because they might also “capture” some students who become familiar with the tool and wish to continue using it after they enter the job market.

If you’re an educational institution looking for powerful photogrammetry software, you may wish to review this program.

Via Capturing Reality

Ortiz Arteaga, A; Scott, D; Boehm, J; (2019) INITIAL INVESTIGATION OF A LOW-COST AUTOMOTIVE LIDAR SYSTEM. In: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. (pp. pp. 233-240). Copernicus GmbH

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Abstract

This investigation focuses on the performance assessment of a low-cost automotive LIDAR, the Livox Mid-40 series. The work aims to examine the qualities of the sensor in terms of ranging, repeatability and accuracy. Towards these aims a series of experiments were carried out based on previous research of low-cost sensor accuracy, LIDAR accuracy investigation and TLS calibration experiments. The Livox Mid-40 series offers the advantage of a long-range detection beyond 200 m at a remarkably low cost. The preliminary results of the tests for this sensor indicate that it can be used for reality capture purposes such as to obtain coarse as-built plans and volume calculations to mention a few. Close-range experiments were conducted in an indoor laboratory setting. Long-range experiments were performed outdoors towards a building façade. Reference values in both setups were provided with a Leica RTC 360 terrestrial LIDAR system. In the close-range experiments a cross section of the point cloud shows a significant level of noise in the acquired data. At a stand-off distance of 5 m the length measurement tests reveal deviations of up to 11 mm to the reference values. Range measurement was tested up to 130 meters and shows ranging deviations of up to 25 millimetres. The authors recommend further investigation of the issues in radiometric behaviour and material reflectivity. Also, more knowledge about the internal components is needed to understand the causes of the concentric ripple effect observed at close ranges. Another aspect that should be considered is the use of targets and their design as the non-standard scan pattern prevents automated detection with standard commercial software.

Reality Capture Educational License Archives 2017

Type: Proceedings paper
Title:INITIAL INVESTIGATION OF A LOW-COST AUTOMOTIVE LIDAR SYSTEM
Event:6th International Workshop LowCost 3D – Sensors, Algorithms, Applications
Location:Strasbourg, France
Dates:02 December 2019 - 03 December 2019
Open access status:An open access version is available from UCL Discovery
DOI:10.5194/isprs-archives-xlii-2-w17-233-2019
Publisher version:https://doi.org/10.5194/isprs-archives-xlii-2-w17-...
Language:English
Additional information:This work is licensed under a Creative Commons Attribution 4.0 International License. The imagesor other third party material in this article are included in the Creative Commons license,unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license,users will need to obtain permission from the license holder to reproduce the material. To view a copy of thislicense, visit http://creativecommons.org/licenses/by/4.0/
Keywords:LIDAR, Low-Cost, Automotive
UCL classification:UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI:https://discovery.ucl.ac.uk/id/eprint/10087172
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