An efficient radiosity solution for bump texture generation

1990 ◽  
Author(s):  
Hong Chen ◽  
En-Hua Wu
Keyword(s):  
Texture Generation

scholarly journals Dynamic Generation of Machined Surfaces, Part 2: Construction of Surface Topography

1991 ◽  
Vol 113 (2) ◽  
pp. 145-153 ◽  
Author(s):  
G. M. Zhang ◽  
S. G. Kapoor
Keyword(s):  
Surface Topography ◽  
Random Excitation ◽  
Surface Generation ◽  
Distribution Model ◽  
Excitation System ◽  
Machined Surface ◽  
Spiral Trajectory ◽  
Vibratory Motion ◽  
Texture Generation ◽  
Simulation Results

In Part 1 of these two-part papers, a normal distribution model has been formulated to describe the random excitation system present during machining. Part 2 presents a methodology to dynamically generate the surface topography under the random excitation environment through computer simulation. The proposed methodology uses the tool vibratory motion along with the tool geometrical motion to construct the topography of a machined surface. Both experimental and simulation results confirm that when a small feed is used, the influence of the spiral trajectory of tool geometrical motion on the surface generation decays dramatically and the random excitation system, on the opposite, is strengthened playing a significant role in surface texture generation.

Texture generation by postdeposition annealing in a temperature gradient

1998 ◽  
Vol 84 (4) ◽  
pp. 2272-2277
Author(s):  
I. A. Rauf ◽  
R. F. Egerton ◽  
M. Sayer
Keyword(s):  
Temperature Gradient ◽  
Texture Generation

Collaborative Work and Learning with Large Amount of Graphical Content in a 3D Virtual World Using Texture Generation Model Built on Stream Processors

2014 ◽  
Vol 5 (2) ◽  
pp. 18-40 ◽  
Author(s):  
Andrey Smorkalov ◽  
Mikhail Fominykh ◽  
Mikhail Morozov
Keyword(s):  
Learning Curve ◽  
Virtual Worlds ◽  
Virtual World ◽  
Collaborative Work ◽  
Three Dimensional ◽  
Generation Model ◽  
Network Resources ◽  
Steep Learning Curve ◽  
Technical Requirements ◽  
Texture Generation

In this paper, the authors address the challenges of applying three-dimensional virtual worlds for collaborative work and learning, such as steep learning curve and the demands for computational and network resources. We developed a texture generation model utilizing stream processors that allows displaying large amount of meaningful content in virtual worlds, reducing the technical requirements and allowing convenient tools that simplify the use of the technology, and therefore, improve the negative learning curve effect. The authors present original methods of generating images and several tools implemented in vAcademia virtual world. A tool called Sticky Notes is presented in detail as an example. In addition, the authors provide the evaluation of the suggested model and the first result of the user evaluation.

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