The objective of this investigation was to develop and investigate methods for point cloud generation by image matching using aerial image data collected by quadrocopter type micro unmanned aerial vehicle (UAV) imaging systems. Automatic generation of high-quality, dense point clouds from digital images by image matching is a recent, cutting-edge step forward in digital photogrammetric technolo...

the aim of this work was to develop a selective cloud point extraction method for the separation and preconcentration of copper(ii) prior to spectrophotometric determination. for this purpose dithizone was used as a complexing agent and the experimental solution was acidified with sulfuric acid. triton x-114 was used as a surfactant and after phase separation, based on the cloud point of the mi...

As technology advances, cities are getting smarter. Smart mobility is the key element in smart and Autonomous Driving (AV) an essential part of mobility. However, vulnerability unmanned vehicles can also affect value life human safety. In this paper, we provide a comprehensive analysis 3D Point-Cloud (3DPC) processing learning terms development, advancement, performance for AV system. 3DPC has ...

Edge processing in IoT networks offers the ability to enforce privacy at the point of data collection. However, such enforcement requires extra processing in terms of data filtering and the ability to configure the device with knowledge of policy. Supporting this processing with Cloud resources can reduce the burden this extra processing places on edge processing nodes and provide a route to en...

With the development of computer hardware, the 3D scanner is cheaper, and more and more 3D data can be got from 3D scanner. The data can access as the point cloud data. So, the processing for large-scale point data has been as the new branch of computer graphics. This paper provided a new algorithm for point cloud organization based on improved Kmeans. The point cloud can be store as a tree. At...

Point-based surface processing has developed into an attractive alternative to mesh-based processing techniques for a number of geometric modeling applications. By working with point cloud data directly, any processing is based on the given raw data and its underlying geometry rather than any arbitrary intermediate representations and generally artificial connectivity relations. In this paper, ...