Leica Geosystems Streamlines Workflow with New Point Cloud Software

Leica Geosystems, part of Hexagon, has announced Leica Cyclone 3DR: new reality capture software that fuses technology for centralized, full-scale point cloud management from Leica Cyclone with advanced, automated point cloud analysis and modelling from 3DReshaper. The new software delivers a simplified platform for surveying, architecture, engineering and construction (AEC) and tank inspection applications. With industry-centric guided workflows, Cyclone 3DR includes a range of adaptable features for automating cleaning, modelling, meshing, extraction, inspection and reporting. An assortment of 3D deliverables can be created to meet the unique needs of reality capture professionals across a wide spectrum of fields. Specialized workflows, such... (read more)
2019-06-18 11:27:50

Arvizio Introduces Life Size Point Cloud Walk-trough

Arvizio has announced the introduction of new capabilities to their MR Studio enterprise mixed reality platform. The new 4.0 release features hybrid rendering which allows GPU accelerated resources to stream massive 3D models to multiple participants and simultaneously interact with point cloud and photogrammetry models utilizing Microsoft HoloLens and Magic Leap mixed reality headset devices. Reality capture, using Lidar, 3D scanners or photogrammetry, is a powerful tool for capturing world scale 3D scenes which have been typically visualized in 2D. The ability to stream enormous point clouds to immersive 3D devices opens a whole new range of applications across industries including AEC,... (read more)
2019-07-18 09:12:47

SimActive Adds Lidar to Point Cloud Processing Solution

In response to the growing use of Lidar, photogrammetry software developer SimActive has integrated a new Lidar workflow in its Correlator3D product. The capability enables users to import a point cloud in the software and to perform registration with an image dataset. Using Lidar as control eliminates the need for traditional ground control points (GCPs) during image processing. Registration occurs during aerial triangulation, leading to a precise alignment of imagery with the Lidar data. Following this, Correlator3D can output colourized point clouds as well as seamless orthomosaics. “Removing the need to manually tag GCPs facilitates the integration of Lidar data... (read more)
2019-12-11 11:36:23

Accurate Point Cloud-based Measurements for Every Stakeholder

NavVis, a leading provider of indoor spatial intelligence technology and enterprise solutions, has released NavVis IndoorViewer 2.6. This major software release includes a new measurement tool that lets users take highly accurate measurements based on point clouds in realistic browser-based digital buildings. This release also makes additional features available to structured e57 point cloud files, including automatically generating highly detailed floorplans and routing. NavVis IndoorViewer is a popular deliverable among building stakeholders without the technical expertise to work with point clouds and modeling software, thanks to the realistic digital buildings and intuitive interface. One of the features that has proven... (read more)
2020-04-08 10:09:26

Fundamentals to Clustering 3D Point Cloud Data

Why is unsupervised segmentation the key to sustainable automation? Automation in point cloud data processing is central for building efficient decision-making systems and to cut labour costs. The identification of objects of interest in these massive datasets constitutes the basis of many applications. While new supervised deep-learning architectures show promising results, the amount of available labelled 3D data is often insufficient for a good generalization. This is where unsupervised approaches and clustering shine. What is data clustering? Clustering algorithms allow data to be partitioned into subgroups, or clusters, in an unsupervised manner. Intuitively, these segments group similar observations together. Clustering... (read more)
2020-07-13 01:12:11

Automatic Point-cloud Generation and 3D Modelling from Aerial Images

Fully automated generation of very dense 3D point clouds and Digital Surface Models (DSM) from stereo aerial images (nadir and oblique) is rapidly gaining ground. The most efficient method is to use Semi Global Matching (SGM) algorithms. Tridicon PointCloud GTA produces accurate point clouds for 3D analysis as well as textured digital surface models from imagery collected in flight missions by aeroplanes, helicopters or unmanned aerial vehicles or from satellite imagery or terrestrial photography collected by mobile mapping vehicles. tridicon BuildingFinder uses these high-quality DSM for object recognition and 3D reconstruction. The automatic production of building footprints and 3D building... (read more)
2012-06-25 09:56:33

Managing Massive Point Cloud Data: Performance of DBMS and File-based Solutions

Today, Lidar and photogrammetry enable the collection of massive point clouds. Faced with hundreds of billions or even trillions of points, the traditional solutions for handling point clouds usually underperform. To obtain insight into the features affecting performance, tests have been carried out on various systems and the pros and cons have been identified. (By Oscar Martinez-Rubi, Peter van Oosterom and Theo Tijssen, The Netherlands) Point clouds have traditionally been processed into grids, vector objects or other types of data to support further processing in a GIS environment. Today, point clouds are also directly used for estimating volumes of complex objects,... (read more)
2015-09-25 01:11:20

3D Target Launches New Version of Lidar Point Cloud Software

3D Target has announced the release of its SmartProcessing Lidar 1.2 software solution. SmartProcessing Lidar, fully developed by 3D Target, enables the production of high-quality georeferenced point clouds from the dataset surveyed with the popular Scanfly Lidar payload. Version 1.2.0.0 features various brand new tools and several improvements. Among other minor bug fixes, the version introduces a Lidar boresight calibration tool, quality reports generation, faster colourization of the point-clouds and Pix4D 4.5 export. “With the new features included in the SPL 1.2, our customers can calibrate their systems by themselves!”, said Paolo Girardi, 3D Target’s CEO. “To the RGB camera... (read more)
2020-02-05 02:10:36

Digitizing Reality: Automated 3D Point Cloud Data Processing Using AI

Intelligent Point Clouds
How can today's advanced technology solve the challenges that many organizations face after obtaining vast 3D point cloud datasets, such as the management, storage, registration, fusion and extraction of useful and actionable information? Instruments for digitizing the 3D real environment are becoming smaller, more lightweight, cheaper and more robust. Accordingly, they are finding increasingly widespread usage, not only on surveying tripods for the highest accuracy, but also on mobile platforms such as autonomous vehicles, drones, helicopters, aircraft, robotic vacuum cleaners, trains, mobile phones, satellites and Martian rovers. Lidar uses laser scanning, while photogrammetry records images from one or more cameras which may be... (read more)
2020-02-25 10:56:50

Software with Strip Adjustment Streamlines Point Cloud Acquisition for 3D Mapping

A newly enhanced software program from YellowScan, an international geomatics company based in France, is streamlining the acquisition of point-cloud data for Lidar. In March, the company announced the release of its new strip adjustment module, a point cloud-enhancing toolbox for its proprietary Lidar software, CloudStation. Even with high-end Lidar systems, some data refinement is required to improve precision and accuracy; the catch is that strip adjustment software is often complex. Here, the adjustment of strips or flight lines and the production of LAS files are done in a few clicks. The Robust method is typically suitable for area-like (or... (read more)
2020-05-18 03:23:02
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