Examples of using Point cloud in English and their translations into Indonesian
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Point cloud processing.
Vercator technology enables the automatic alignment andsubsequent analysis of 3D point cloud datasets.
For instance the point cloud model can be used in the 3D editor as a reference.
Split-FX is a software package to process three dimensional point cloud data from LIDAR scans and photogrammetry.
Point cloud is a set of data points within a coordinate system.
The Geomagic Reverse Engineering software allows for fast andaccurate cleanup of point cloud data into 3D surface models.
Automatic generation: point cloud without stratification, generate 3D solid graphics automatically(triangular mesh surface).
LiveMaps relies on crowd-sourced data, such as geotagged images,obtained from various smart devices to create a point cloud system.
The point cloud may be used for production previsualization or background creation for videogames or VR/AR new-media products.
Included with the supplementary LiDAR Module,Pixels-to-Points is used to create a high-density 3D point cloud from overlapping UAV-collected images.
This point cloud is subsequently evaluated using specially developed tools in order to recognise extremely small defects and discontinuities on the surface.
A real-world object(or even actor) is scanned, analyzed, and the raw data(typically an x, y,z point cloud) is used to generate an accurate polygonal or NURBS mesh.
Rich Analysis function: With point cloud range, a variety of coordinate transformation, element fitting, all kinds of angle and size analysis function.
Using Revit Architecture and Revit MEP tools, 3D models and scan-to-BIM services,using point cloud data, are provided, with 4D scheduling added for new site construction.
The point cloud generated from drone-based LiDAR can yield 100- 500 points per square meter at a vertical elevation accuracy of 2- 3 centimeters.
Using Revit Architecture and Revit MEP tools, 3D models and scan-to-BIM services,using point cloud data, are provided, with 4D scheduling added for new site construction.
Additionally, the point cloud may not necessarily tell the robot where a ship's structure begins and ends- a problem if it wants to avoid colliding with a ship's propellers.
The SLiM technology is a turn-key 3D camera module that offers real-time depth sensing and3D point cloud generation with high resolution and high accuracy performance for both indoor and outdoor environments.
Since point cloud processing is the most important step to handle, 3DReshaper provides powerful functions such as Fusion and Automatic Segmentation to help process point clouds. .
Additionally, users of Agisoft's PhotoScan software can now import their calibrated photos into PointSense's Heritagetools as an additional reference source for processing their point cloud data.
The SLiM technology is a turn-key 3D camera module that offers real-time depth sensing and3D point cloud generation with high resolution and high accuracy performance for both indoor and outdoor environments.
Photosynth is a software application from Microsoft Live Labs and the University of Washington that analyzes digital photographs andgenerates a three-dimensional model of the photos and a point cloud of a photographed object.
Rich Post-processing function: A point cloud optimization of noise reduction, fusion point cloud overlap(delete overlapping surface), point cloud automatic post-processing functions such as filling holes, triangle.
With WARLORD, the antenna itself shapes and steers the beam in all directions using pencil beams, deep learning engines and AI algorithms to recognize objects quickly andsend 4-D point cloud to the sensor fusion.
With each scan, the scanner collects several hundred thousand measurements,ultimately forming a point cloud with several million data points that precisely indicates the location of various components under the car.
Fast 3D Scanning using structure light technology, phase measurement technology, machine vision and raster scan technology and so on, the products in a rapid 3d scanning,obtain full three-dimensional point cloud data.
Comparing laser scanning techniques which are widely spread today both in terrain models generating and in close range case to getlarge amount of 3D point data(dense point cloud) to photogrammetry, one could note the following.