Modeling and volume rendering approach of underwater three-dimensional acoustic energy field

The underwater acoustics is primary and most effective method for underwater object detection and the complex underwater acoustics battlefield environment can be visually described by the three-dimensional (3D) energy field. Through solving the 3D propagation models, the traditional underwater acoustics volume data can be obtained, but it is large amount of calculation. In this paper, a novel modeling approach, which transforms two-dimensional (2D) wave equation into 2D space and optimizes energy loss propagation model, is proposed. In this way, the information for the obtained volume data will not be lost too much. At the same time, it can meet the requirements of data processing for the real-time visualization. In the process of volume rendering, 3D texture mapping methods is used. The experimental results are evaluated on data size and frame rate, showing that our approach outperforms other approaches and the approach can achieve better results in real time and visual effects.

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Real-time volume rendering of four-dimensional images based on three-dimensional texture mapping

Journal of Digital Imaging ◽

10.1007/bf03190339 ◽

2001 ◽

Vol 14 (S1) ◽

pp. 202-204 ◽

Cited By ~ 2

Author(s):

Jinwoo Hwang ◽

June Sic Kim ◽

Jae Seok Kim ◽

In Young Kim ◽

Sun I. Kim

Keyword(s):

Real Time ◽

Volume Rendering ◽

Three Dimensional ◽

Texture Mapping

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Spatial Constraint Method: A New Approach to Real-Time Haptic Interaction in Virtual Environments

Presence Teleoperators & Virtual Environments ◽

10.1162/1054746041422307 ◽

2004 ◽

Vol 13 (3) ◽

pp. 355-370 ◽

Cited By ~ 1

Author(s):

Koichi Hirota ◽

Masaki Hirayam ◽

Atsuko Tanaka ◽

Toyohisa Kaneko

Keyword(s):

Real Time ◽

Volume Rendering ◽

Computation Time ◽

Surface Rendering ◽

Volume Data ◽

Haptic Interaction ◽

New Approach ◽

Computation Algorithm ◽

Future Work ◽

Constraint Method

In this paper, we propose an approach to real-time haptic interaction based on the concept of simulating the constraining propertes of space. Research on haptic interaction has been conducted from the points of view of both surface and volume rendering. Most approaches to surface rendering—such as the constraint-based god-object method, the point-based approach, and the virtual proxy approach—have dealt only with the interaction with an object surface. Whereas, in volume rendering approaches, algorithms for representing volume data through interactions in space have been investigated. Our approach provides a framework for the representation of haptic interaction with both surface and space. We discretize the space using a tetrahedral cell mesh and associate a constraining property with each cell. The interaction of the haptic interface points with a volume is simulated using the constraining properties of the cells occupied by this volume. We implemented a fast computation algorithm that works at a haptic rate. The algorithm is robust in that any sudden or quick motion of the user does not disturb the computation, and the computation time for each cycle is independent of the complexity of the model as a whole. To demonstrate the performance of the proposed method, we present experimental results on the interaction with models of varying complexity. Also, we discuss some problems that need to be solved in future work.

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Real-time volume rendering of 4D image using 3D texture mapping

10.1117/12.428099 ◽

2001 ◽

Author(s):

Jinwoo Hwang ◽

June-Sic Kim ◽

Jae Seok Kim ◽

In Young Kim ◽

Sun Il Kim

Keyword(s):

Real Time ◽

Volume Rendering ◽

Texture Mapping ◽

3D Texture ◽

3D Texture Mapping

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Effects of Different Parameter Settings for 3D Data Smoothing and Mesh Simplification on Towards Near Real-Time 3D Reconstruction of High Resolution Bioceramic Bone Void Filling Medical Images

10.20944/preprints202110.0362.v1 ◽

2021 ◽

Author(s):

Daniel Jie Yuan Chin ◽

Ahmad Sufril Azlan Mohamed ◽

Khairul Anuar Shariff ◽

Mohd Nadhir Ab Wahab ◽

Kunio Ishikawa

Keyword(s):

Real Time ◽

Volume Rendering ◽

Medical Images ◽

Three Dimensional ◽

Mesh Simplification ◽

Surface Rendering ◽

Reconstruction Accuracy ◽

Total Execution Time ◽

Data Smoothing ◽

Dimensional Reconstruction

Three-dimensional reconstruction plays an important role in assisting doctors and surgeons in diagnosing bone defects’ healing progress. Common three-dimensional reconstruction methods include surface and volume rendering. As the focus is on the shape of the bone, volume rendering is omitted. Many improvements have been made on surface rendering methods like Marching Cubes and Marching Tetrahedra, but not many on working towards real-time or near real-time surface rendering for large medical images, and studying the effects of different parameter settings for the improvements. Hence, in this study, an attempt towards near real-time surface rendering for large medical images is made. Different parameter values are experimented on to study their effect on reconstruction accuracy, reconstruction and rendering time, and the number of vertices and faces. The proposed improvement involving three-dimensional data smoothing with convolution kernel Gaussian size 0.5 and mesh simplification reduction factor of 0.1, is the best parameter value combination for achieving a good balance between high reconstruction accuracy, low total execution time, and a low number of vertices and faces. It has successfully increased the reconstruction accuracy by 0.0235%, decreased the total execution time by 69.81%, and decreased the number of vertices and faces by 86.57% and 86.61% respectively.

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Hybrid Rendering of Multidimensional Image Data

Methods of Information in Medicine ◽

10.1055/s-0038-1634687 ◽

1997 ◽

Vol 36 (01) ◽

pp. 1-10 ◽

Cited By ~ 18

Author(s):

M. Haubner ◽

A. Lösch ◽

F. Eckstein ◽

M. D. Seemann ◽

W. van Eimeren ◽

...

Keyword(s):

Image Processing ◽

Real Time ◽

Volume Rendering ◽

Image Interpretation ◽

Texture Mapping ◽

Volume Visualization ◽

Data Representation ◽

Preoperative Treatment ◽

Hybrid Rendering ◽

Functional Relationships

Abstract:The most important rendering methods applied in medical imaging are surface and volume rendering techniques. Each approach has its own advantages and limitations: Fast surface-oriented methods are able to support real-time interaction and manipulation. The underlying representation, however, is dependent on intensive image processing to extract the object surfaces. In contrast, volume visualization is not necessarily based on extensive image processing and interpretation. No data reduction to geometric primitives, such as polygons, is required. Therefore, the process of volume rendering is currently not operating in real time. In order to provide the radiological diagnosis with additional information as well as to enable simulation and preoperative treatment planning we developed a new hybrid rendering method which combines the advantages of surface and volume presentation, and minimizes the limitations of these approaches. We developed a common data representation method for both techniques. A preprocessing module enables the construction of a data volume by interpolation as well as the calculation of object surfaces by semiautomatic image interpretation and surface construction. The hybrid rendering system is based on transparency and texture mapping features. It is embedded in a user-friendly open system which enables the support of new application fields such as virtual reality and stereolithography. The efficiency of our new method is described for 3-D subtraction angiography and the visualization of morpho-functional relationships.

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Flow Modeling and Rendering to Support 3D River Shipping Based on Cross-Sectional Observation Data

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi9030156 ◽

2020 ◽

Vol 9 (3) ◽

pp. 156

Author(s):

Xuequan Zhang ◽

Jin Liu ◽

Zihe Hu ◽

Ming Zhong

Keyword(s):

Three Dimensional ◽

Texture Mapping ◽

Frame Rate ◽

Observation Data ◽

Flow Modeling ◽

Surface Rendering ◽

Cross Sectional ◽

Rapid Changes ◽

Contour Surface ◽

Dense Sampling

The flow in meandering rivers is characterized by rapid changes in flow velocity and water level, especially in flooded environments. Accurate cross-sectional observation data enable continuous monitoring of flow conditions, which is important for river navigation. In this paper, cross-sectional data based flow modeling and rendering methods are studied to build an interactive hybrid flow environment for three-dimensional river shipping. First, the sparse cross-sectional data are extrapolated and interpolated to provide dense sampling points. Then, the data are visualized separately by dynamic texture mapping, particle tracking, streamline rendering, and contour surface rendering. Finally, the rendering models are integrated with ship animation to build a comprehensive hybrid river navigation scenario. The proposed methods are tested by visualizing measured cross-sectional data in the Yangtze River using an open-source software, called World Wind. The experimental results demonstrate that the hybrid flow rendering achieves comprehensive visual effect and the rendering frame rate is greater than 30. The interactive hybrid flow visualization is beneficial to support river shipping analysis.

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