scholarly journals Algorithm of Ray Casting Volume Rendering Based on CUDA

2014 ◽  
Author(s):  
Shi Zhu ◽  
Jing Yi Chang ◽  
Cong Hua Xie
Keyword(s):  
Volume Rendering ◽  
Ray Casting

scholarly journals FOCAL REGION-BASED VOLUME RENDERING

2006 ◽  
Vol 20 (05) ◽  
pp. 665-677 ◽  
Author(s):  
JIANLONG ZHOU ◽  
ZHIYAN WANG ◽  
KLAUS D. TÖNNIES
Keyword(s):  
Volume Rendering ◽  
Contextual Information ◽  
Focal Region ◽  
Ray Casting ◽  
Volumetric Data ◽  
Data Set ◽  
Volume Of Interest ◽  
Bounded Volume ◽  
Volume Ray Casting ◽  
Main Components

In this paper, a new approach named focal region-based volume rendering for visualizing internal structures of volumetric data is presented. This approach presents volumetric information through integrating context information as the structure analysis of the data set with a lens-like focal region rendering to show more detailed information. This feature-based approach contains three main components: (i) A feature extraction model using 3D image processing techniques to explore the structure of objects to provide contextual information; (ii) An efficient ray-bounded volume ray casting rendering to provide the detailed information of the volume of interest in the focal region; (iii) The tools used to manipulate focal regions to make this approach more flexible. The approach provides a powerful framework for producing detailed information from volumetric data. Providing contextual information and focal region renditions at the same time has the advantages of easy to understand and comprehend volume information for the scientist. The interaction techniques provided in this approach make the focal region-based volume rendering more flexible and easy to use.

scholarly journals Augmenting Image Warping-Based Remote Volume Rendering with Ray Tracing

2020 ◽  
Author(s):  
Stefan Zellmann
Keyword(s):  
Ray Tracing ◽  
Volume Rendering ◽  
Image Warping ◽  
Depth Image ◽  
Data Sets ◽  
Ray Casting ◽  
Remote Rendering ◽  
Camera Position ◽  
Z Value ◽  
Depth Buffer

<div><div><div><p>We propose an image warping-based remote rendering technique for volumes that decouples the rendering and display phases. Our work builds on prior work that samples the volume on the client using ray casting and reconstructs a z-value based on some heuristic. The color and depth buffer are then sent to the client that reuses this depth image as a stand-in for subsequent frames by warping it according to the current camera position until new data was received from the server. We augment that method by implementing the client renderer using ray tracing. By representing the pixel contributions as spheres, this allows us to effectively vary their footprint based on the distance to the viewer, which we find to give better results than point-based rasterization when applied to volumetric data sets.</p></div></div></div>

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