We propose a method of improving the reconstruction of edges and corners in surface meshes of sparsely populated point clouds by exploiting the presence of planes in the scene, the calculated geometry of the cameras and the images themselves. By robustly identifying co-planar points in the point cloud, isolating suitable plane-pairs for intersection, identifying the regions-of-interest along th...

The digitalization of objects from the real world is of great importance, e. g., in many multimedia applications, in 3D computer graphics, and in industrial measurement. In particular, methods of optical measurement are frequently used in this context. This type of 3D scanning yields a point cloud that may contain errors due to system specific characteristics. Considering the example of an opti...

This paper describes an enhanced clustering method for 3D point cloud data which is acquired from a laser range scanning system. The proposed method overcomes the instinctive problems of the vertical or horizontal scanning system. The acquired 3D laser range data for an autonomous vehicle has a disadvantage in that the point cloud data from the system is not equally distributed based on distanc...

Object detection and parameter estimation in point cloud data is a relevant subject to robotics, reverse engineering, computer vision, and sport mechanics. In this paper a software is presented for fully-automatic object detection and parameter estimation in unordered, incomplete and error-contaminated point cloud with a large number of data points. The software consists of three algorithmic mo...

This paper addresses the computation procedures for estimating the impact of interference in 60 GHz IEEE 802.11ad uplink access in order to construct visual big-data database from randomly deployed surveillance camera sensing devices. The acquired large-scale massive visual information from surveillance camera devices will be used for organizing big-data database, i.e., this estimation is essen...

Mobile Cloud Computing (MCC) is a combination of mobile computing and cloud computing. It has become one of the Major Research issue in the industry. Although there are so, many research studies in mobile computing and cloud computing, convergence of these two areas grant further academic efforts towards flourishing MCC. With this aim, this paper presents a review on the background and principl...

Basing on the application of digital protection of cultural sites, this paper presented a precise algorithm for the multi-resolution point cloud based on sequence iterative. Firstly, based on the synchronous scanning image, a rough registration of the adjacent point cloud can be obtained in an interactive way. Secondly, based on a normal-based algorithm of registration sphere center, the points...

Point cloud data are important sources for 3D geo-information. An inventory of the point cloud data management user requirements has been compiled using structured interviews with users from different background: government, industry and academia. Based on these requirements a benchmark has been developed to compare various point cloud data management solutions with regard to functionality and ...

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. ...

Point cloud segmentation and classification is currently a research highlight. Methods in this field create labelled data, where each point has additional class information. Current approaches are to generate a graph on the basis of all points in the point cloud, calculate or learn descriptors and train a matcher for the descriptor to the corresponding classes. Since these approaches need to lo...