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...

In liquids, the cloud point is the temperature below which a transparent solution undergoes either a liquid-liquid phase separation to form an emulsion...

The Point Cloud Library (PCL) is an open-source library of algorithms for point cloud processing tasks and 3D geometry processing, such as occur in three-dimensional...

droplets form if the gas mixture is at the point of condensation. These droplets are visible as a "cloud" track that persists for several seconds while...

computer vision, pattern recognition, and robotics, point-set registration, also known as point-cloud registration or scan matching, is the process of finding...

Iterative closest point (ICP) is a point cloud registration algorithm employed to minimize the difference between two clouds of points. ICP is often used...

The normal distributions transform (NDT) is a point cloud registration algorithm introduced by Peter Biber and Wolfgang Straßer in 2003, while working...

of points is often referred to as a point cloud because of its raw appearance like a nebula. Since point clouds often reveal some of the shape of the...

CloudCompare is a 3D point cloud processing software (such as those obtained with a laser scanner). It can also handle triangular meshes and calibrated...

is a file format designed for the interchange and archiving of lidar point cloud data. It is an open, binary format specified by the American Society...

droplets and crystals. On Earth, clouds are formed as a result of saturation of the air when it is cooled to its dew point, or when it gains sufficient moisture...

relatively short time when compared to other technologies. Each point in the point cloud is given the colour of the pixel from the image taken at the same...

that point, and hence its Tukey depth as a fraction is 1/n. Sample Tukey's depth of point x, or Tukey's depth of x with respect to the point cloud X n...

Cloud computing is "a paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service...

The main tool is persistent homology, an adaptation of homology to point cloud data. Persistent homology has been applied to many types of data across...

usually to create a 3D model. This 3D model consists of a polygon mesh or point cloud of geometric samples on the surface of the subject. These points can...

annealing) for the farthest distance, accelerated by a 3D Cartesian point cloud. Rees (2021) shows that the two methods agree with each other to meter...

complex constructed from a point cloud in any metric space which is meant to capture topological information about the point cloud or the distribution it...

diagnostics) is a series of measures that characterize certain properties of a point cloud in a scatter plot. The term and idea was coined by John Tukey and Paul...

given a query point taken from the same space, a possible solution to the problem of finding the nearest point-cloud point to the query point is given in...

Accumulation point Affine space Boundary point Critical point Cusp Event (relativity) Foundations of geometry Position (geometry) Point at infinity Point cloud Point...

sublevel filtration of the distance to a point cloud, or equivalently, the offset filtration on the point cloud and taking its nerve in order to get the...

The Oort cloud (pronounced /ɔːrt/ AWT or /ʊərt/ OORT), sometimes called the Öpik–Oort cloud, is theorized to be a vast cloud of icy planetesimals surrounding...

Implementation of the 3D alpha-shape for the reconstruction of 3D sets from a point cloud in R Description of the implementation details for alpha shapes – lecture...

Natasha "Tash" Cloud (born February 22, 1992) is an American professional basketball player for the New York Liberty of the Women's National Basketball...

deposition rather than condensation. In liquids, the analog to the dew point is the cloud point. If all the other factors influencing humidity remain constant...

Algorithms that determine the pose of a point cloud with respect to another point cloud are known as point set registration algorithms, if the correspondences...

therefore F has uncountable closure. Acnode Adherent point Accumulation point Point cloud Gomez-Ramirez, Danny (2007), "An explicit set of isolated points in...

for ergonomic and anthropometric investigation of the human form as a point-cloud. The technology and practice within research has found 3D body scanning...

Robot Operating System (ROS) libraries, often used together with the Point Cloud Library for 3D maps or visual features from OpenCV. In robotics, EKF...