The irregular domain and lack of ordering make it challenging to design deep neural networks for point cloud processing. This paper presents a novel framework named Point Cloud Transformer(PCT) learning. PCT is based on Transformer, which achieves huge success in natural language processing displays great potential image It inherently permutation invariant sequence points, making well-suited To...

A micell-mediated phase separation method for preconcentration of ultra-trace quantities of mercury as a prior step to its determination by UV-Vis spectrophotometry has been developed. The method is based on Hg(II)-dithizone complex formation in alkaline aqueous solution, and extraction of this Hg(II)-dithizone secondary complex into the surfactant-rich phase of the non-ionic surfactant oct...

An automatic procedure is presented to generate a multiresolution head model from sampled surface data. A generic control mesh serves as the starting point for a fitting algorithm that approximates the points in an unstructured set of surface samples, e.g. a point cloud obtained directly from range scans of an individual. A hierarchical representation of the model is generated by repeated refin...

The reconstruction of high-quality surface meshes from measured data is a vital stage in digital shape processing. We present a new approach to this problem that deforms a template surface to fit a given point cloud. Our method takes a template mesh and a point cloud as input, the latter typically shows missing parts and measurement noise. The deformation process is initially guided by user spe...

Topographic databases maintained by national mapping agencies are currently the most common nationwide data sets in geo-information. The application of laser scanning as source data for surveying is increasing. Along with this development, several analysis methods that utilize dense point clouds have been introduced. We present the concept of producing a dense nationwide point cloud, produced f...

Medial representations have been widely used for many shape analysis and processing tasks. Large and complex 3D shapes are, in this context, a challenging case. Recently, several methods have been proposed that extract point-based medial surfaces with high accuracy and computational scalability. However, the resulting medial clouds are of limited use for shape processing due to the difficulty o...

in this study, a simple and low-cost method was developed for extraction and pre-concentration of brilliant blue(bb) and tropaeolin o(to) in food samples using cloud point extraction (cpe) prior to spectrophotometric determination. the effects of main factors such as ph, surfactant and salt concentrations, incubation time and temperature on the cloud point extraction of both dyes were investiga...

The ability to measure the energy consumed by cloud infrastructure is a crucial step towards the development of energy efficiency policies in the cloud infrastructure. There are hardware-based and software-based methods of measuring energy usage in cloud infrastructure. However, most hardware-based energy measurement methods measure the energy consumed system-wide - including the energy lost in...

Photogrammetric techniques are used for the generation of point cloud data. Multiple images acquired with photo cameras are processed into dense point clouds using photogrammetric workflows. These are normally based on a basic photogrammetric workflow with three steps: tiepoints detection; estimation of camera positions and orientations and of calibration parameters; and dense-matching point cl...