Extracting surfaces from a sparse 3D point cloud in real-time can be beneficial for many applications that are based on Simultaneous Localization and Mapping (SLAM) like occlusion handling or path planning. However, this is a complex task since the sparse point cloud is noisy, irregularly sampled and growing over time. In this paper, we propose a new method based on an optimal labeling of an in...

To cope with unpredictable packet losses caused by the wireless environment there exist techniques using route selection, retransmission, and buffering. This can make losses incurred over a one or two hop path acceptable. However, as the number of hops in the path increases to three, four, and beyond packet losses inexorably add up and exceed the limits of these techniques. This can cause unacc...

We study a surprising phenomenon related to the representation of a cloud of data points using polynomials. We start with the previously unnoticed empirical observation that, given a collection (a cloud) of data points, the sublevel sets of a certain distinguished polynomial capture the shape of the cloud very accurately. This distinguished polynomial is a sum-of-squares (SOS) derived in a simp...

Light detection and ranging (LIDAR) instruments collect high density and accurate 3D point clouds of scanned surfaces of objects. For the applications of building reconstruction from ground based LIDAR, the most fundamental spatial information to be extracted are plane features. ZE Modeller implements a point cloud registration and geo-referencing alogithm. Further, ZE Modeller also offers an a...

Cloud computing technology is providing businesses, be it micro, small, medium, and large scale enterprises with the same level playing grounds. Small and Medium enterprises (SMEs) that have adopted the cloud are taking their businesses to greater heights with the competitive edge that cloud computing offers. The limitations faced by (SMEs) in procuring and maintaining IT infrastructures has be...

Cloud Computing, the long-held dream of computing as a utility, has the potential to transform a large part of the IT industry, making software even more attractive as a service and shaping the way IT hardware is designed and purchased. Virtualization technology forms a key concept for new cloud computing architectures. The data centers are used to provide cloud services burdening a significant...

the study of spatial and temporal changes in climate parameters, is one the most important issues in the world's climate research. study of changes in cloud cover as one of the most important climate parameters is important, because clouds are in top of hydrologic cycle and changes in them make changes in spatial and temporal variations in other climate parameters. in this study, the spati...

This paper presents a novel surface reconstruction algorithm based on 3D point cloud sliced by a series of planes vertical to Z-axis. First, the density and distribution of point cloud is analyzed in vertical direction Z-axis and a stratified point cloud model is put forward to present an object feature, in which point cloud is sliced with irregular intervals. An approach of stratified point cl...

Posture segmentation plays an essential role in human motion analysis. The state-of-the-art method extracts sufficiently high-dimensional features from 3D depth images for each 3D point and learns an efficient body part classifier. However, high-dimensional features are memory-consuming and difficult to handle on large-scale training dataset. In this paper, we propose an efficient two-stage dim...

We describe two distinct approaches to obtaining the cloud-point densities and coexistence properties of polydisperse fluid mixtures by Monte Carlo simulation within the grand-canonical ensemble. The first method determines the chemical potential distribution mu(sigma) (with the polydisperse attribute) under the constraint that the ensemble average of the particle density distribution rho(sigma...