Recently, the availability of low cost depth cameras has provided 3D sensing capabilities for mobile robots in the form of dense 3D point clouds, usable for applications like 3D mapping and reconstruction, shape analysis, pose tracking and object recognition. For all the aforementioned applications, processing the raw 3D point cloud in real time and at full frame rates may be infeasible due to ...

in this paper, we present a novel algorithm for vanet using cloud computing. we accomplish processing, routing and traffic control in a centralized and parallel way by adding one or more server to the network. each car or node is considered a client, in such a manner that routing, traffic control, getting information from client and data processing and storing are performed by one or more serve...

This paper presents Point Convolutional Neural Networks (PCNN): a novel framework for applying convolutional neural networks to point clouds. The framework consists of two operators: extension and restriction, mapping point cloud functions to volumetric functions and viseversa. A point cloud convolution is defined by pull-back of the Euclidean volumetric convolution via an extensionrestriction ...

In cloud-computing services, using the SSL/TLS protocol is not enough to ensure data confidentiality. For instance, cloud service providers can see the plaintext after the decryption at the end point of a secure channel. It is wise to introduce an encryption layer between the service client and the communication channel so the data will not be seen by the cloud service provider. The encryption/...

This paper concerns context and feature-sensitive re-sampling of workspace surfaces represented by 3D point clouds. We interpret a point cloud as the outcome of repetitive and non-uniform sampling of the surfaces in the workspace. The nature of this sampling may not be ideal for all applications, representations and downstream processing. For example it might be preferable to have a high point ...

Segmentation is one of the most fundamental procedures for the automation of point cloud processing. The methods based on geometrical derivatives such as curvature and normals often lead to over-segmentation and even failure when used to segment point clouds of geometrically-complex architectures. In this paper we present a point cloud segmentation algorithm based on colorimetrical similarity a...

The handling of unstructured data in database management system is very difficult. The managing unstructured data like image, video textual data etc. are not easy task in database system. In this work a concept of cloud algebra introduced to handle unstructured data in CDBMS. The most popular concept, relational algebra is used in relational database management system. The relational algebra is...