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 ...

Combining active and passive imaging sensors enables creating a more detailed 3D model of the real world. Then, these 3D data can be used for various applications, such as city mapping, indoor navigation, autonomous vehicles, etc. Typically, LiDAR and camera as imaging sensors are installed on these systems. Both of these sensors have advantages and drawbacks. Thus, LiDAR sensor directly provid...

Dental implant is one of the most popular methods of tooth root replacement used in prosthetic dentistry. Computerize navigation system on a pre-surgical plan is offered to minimize potential risk of damage to critical anatomic structures of patients. Dental tool tip calibrating is basically an important procedure of intraoperative surgery to determine the relation between the hand-piece tool t...

Grant, Darion Shawn. Ph.D., Purdue University, December 2013. Cloud To Cloud Registration For 3D Point Data. Major Professors: James Bethel and Melba Crawford. The vast potential of digital representation of objects by large collections of 3D points is being recognized on a global scale and has given rise to the popularity of point cloud data (PCD). 3D imaging sensors provide a means for quickl...

In this paper, we present a mathematical and algorithmic framework for the continuation of point clouds by persistence diagrams. A key property used in the method is that the persistence map, which assigns a persistence diagram to a point cloud, is differentiable. This allows us to apply the Newton-Raphson continuation method in this setting. Given an original point cloud P , its persistence di...

Given a collection of unorganised points in space, we present a new method of constructing a surface which approximates this point cloud. The surface is defined implicitly as the isosurface of a trivariate volume model. The volume model is piecewise linear and obtained as a least squares fit to data derived from the point cloud. The original point cloud input is assigned a zero value. Additiona...

Being able to reverse engineer from point cloud data to obtain 3D models is important in modeling. We present a new method to obtain a tensor product B-spline representation from point cloud data by fitting surfaces to appropriately segmented data. Point cloud data obtained by digitizing 3D data, typically presents many associated complications like noise and missing data. Our method addresses ...

A new, cost-effective, and environmental-friendly cloud point extraction methodology was described for enrichment of copper, manganese and nickel in several water samples. The method involves the complexation of copper, manganese or nickel with 2-amino-6-(1,3-thiazol-2-diazeyl)-phenol at pH 7.0, then extraction into Triton X-114. After dilution of the surfactant-rich phase with acidified methan...