scholarly journals TIN Surface and Radial Viewshed Determination Algorithm Parallelisation on Multiple Computing Machines

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 424
Author(s):  
Jerzy Orlof ◽  
Paweł Ozimek
Keyword(s):  
Computer Graphic ◽  
Triangulated Irregular Network ◽  
Computing Machines

In this paper we have proposed a method of solving the computer graphic problem of creating a Triangulated Irregular Network (TIN) surface in large clouds in order to create viewsheds. The method is based on radial TIN surface and viewshed visualization task subdivision using multiple computing machines, which is intended to accelerate the process of generating the complete viewshed.

scholarly journals Determination of Radial Segmentation of Point Clouds Using K-D Trees with the Algorithm Rejecting Subtrees

Symmetry ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 1451 ◽  
Author(s):  
Jerzy Orlof ◽  
Paweł Ozimek ◽  
Piotr Łabędź ◽  
Adrian Widłak ◽  
Mateusz Nytko
Keyword(s):  
Computer Graphic ◽  
Point Clouds ◽  
Binary Trees ◽  
Graphic Method ◽  
Triangulated Irregular Network ◽  
Mathematical Algorithm

This paper presents an innovative computer graphic method for viewshed generation from big point clouds. The proposed approach consists in simplification of typical methods for viewshed formation that are based on sorting and binary trees. The proposed method is based on the k-d tree concept optimized with radial segmentation and a dedicated mathematical algorithm for subtree rejection. The final visualization of the viewshed is designed with a graphic method using triangulated irregular network (TIN) surfaces from the accepted subtrees.

Three-dimensional image analysis and visualization in confocal light microscopy

1993 ◽  
Vol 51 ◽  
pp. 158-159
Author(s):  
J. K. Samarabandu ◽  
R. Acharya ◽  
D. R. Pareddy ◽  
P. C. Cheng
Keyword(s):  
Depth Perception ◽  
Computer Graphic ◽  
Three Dimensional ◽  
Cellular Organization ◽  
Data Set ◽  
Computational Burden ◽  
Interactive Operation ◽  
Cell Organization ◽  
Confocal Images ◽  
3D Digitization

In the study of cell organization in a maize meristem, direct viewing of confocal optical sections in 3D (by means of 3D projection of the volumetric data set, Figure 1) becomes very difficult and confusing because of the large number of nucleus involved. Numerical description of the cellular organization (e.g. position, size and orientation of each structure) and computer graphic presentation are some of the solutions to effectively study the structure of such a complex system. An attempt at data-reduction by means of manually contouring cell nucleus in 3D was reported (Summers et al., 1990). Apart from being labour intensive, this 3D digitization technique suffers from the inaccuracies of manual 3D tracing related to the depth perception of the operator. However, it does demonstrate that reducing stack of confocal images to a 3D graphic representation helps to visualize and analyze complex tissues (Figure 2). This procedure also significantly reduce computational burden in an interactive operation.

On Play by Means of Computing Machines (Preliminary Version).

1988 ◽  
Vol 53 (2) ◽  
pp. 669
Author(s):  
William J. Rapaport ◽  
Nimrod Megiddo ◽  
Avi Wigderson ◽  
Haim Gaifman ◽  
Silvio Micali ◽  
...  
Keyword(s):  
Preliminary Version ◽  
Computing Machines

Research on Adaptive Triangular Irregular Network for Virtual Battlefield Terrain

2013 ◽  
Vol 347-350 ◽  
pp. 2160-2163
Author(s):  
Heng Heng Jiang ◽  
Xin Yu Chen ◽  
Wen Jing Zhang
Keyword(s):  
3D Modeling ◽  
Triangulated Irregular Network ◽  
Triangular Irregular Network ◽  
Better Than

Constructing virtual battlefield terrain is a very important subject in military simulation. In allusion to the shortcoming of actual triangulated irregular network, an adaptive triangular irregular network is proposed in this paper, and the 3D modeling of the battlefield terrain is built. Effectiveness and speediness of the proposed method was demonstrated by the experiment result, and the details and precision of terrain mode1 is better than others.

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