We present a new approach to simultaneously denoise and parameterize unorganized point cloud data. This is achieved by minimizing an appropriate energy function defined on the point cloud and its parameterization. An iterative algorithm to minimize the energy is described. The key ingredient of our approach is an “as-rigid-as-possible” meshless parameterization to map a point cloud with disk to...

a simple and sensitive method is described for the pre-concentration by cloud point extraction followed by atomic absorption spectrometric determination of copper ion in real samples. at a solution ph of 5.5, 5, 5-diphenylimidazolidine-2, 4-dione (phenytoin) (dfid) and tritonx-114 were used as hydrophobic ligand and non-ionic surfactant. the adopted concentrations for dfid, triton x-114 and hno...

This paper presents SO-Net, a permutation invariant architecture for deep learning with orderless point clouds. The SO-Net models the spatial distribution of point cloud by building a Self-Organizing Map (SOM). Based on the SOM, SO-Net performs hierarchical feature extraction on individual points and SOM nodes, and ultimately represents the input point cloud by a single feature vector. The rece...

Cloud computing provides consumer an inclusive software atmosphere. In the midst of the escalation of Cloud computing, additional companies are offering diverse Cloud services. Commencing the consumer's point of view, it is constantly complex to make a decision on choosing the services depending on QoS requirements. QoS requirements have to be satisfied by both service providers and consumers. ...

Cloud computing is one of the most emerging technologies in the world providing computing resources as a service on demand via internet maintained by third party service provider. In cloud environment trust is one of the most sensitive and important issue. In order to maintain the privacy of certain user we need strong authentication mechanism. This paper will discuss about the available authen...

The quick and accurate understanding of the ambient environment, which is composed of road curbs, vehicles, pedestrians, etc., is critical for developing intelligent vehicles. The road elements included in this work are road curbs and dynamic road obstacles that directly affect the drivable area. A framework for the online modeling of the driving environment using a multi-beam LIDAR, i.e., a Ve...