直接体绘制中增强深度感知的网格投影算法

冯晓萌; 吴玲达; 于荣欢; 杨超

doi:10.11999/JEIT150303

直接体绘制中增强深度感知的网格投影算法

doi: 10.11999/JEIT150303

1.
(装备学院研究生管理大队北京 101416) ②(装备学院复杂电子系统仿真实验室北京 101416)

基金项目:

国家自然科学基金(61202129)

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出版历程
- 收稿日期: 2015-03-13
- 修回日期: 2015-06-29
- 刊出日期: 2015-11-19

Enhanced Depth Perception Grid-projection Algorithm for Direct Volume Rendering

1.
(Department of Graduate Management, Equipment Academy, Beijing 101416, China)
2.
(Science and Technology on Complex Electronic System Simulation Laboratory, Equipment Academy, Beijing 101416, China)

Funds:

The National Natural Science Foundation of China (61202129)

摘要

摘要: 体绘制技术生成的图像中丢失了深度信息，已有的增强深度感知方法通常只针对某些结构区域，牺牲其它结构信息的同时又直接修改体绘制算法。面向光线投射体绘制算法，该文提出一种增强深度感知的方法，不直接修改光线投射算法。投影均匀网格到体数据表面，网格跟随表面变形后经光线投射绘制在结果图像中，用户根据变形网格能够感知图像中的深度信息。同时，为突显变形网格所反映的深度信息，对投影后的网格线进行深度相关的着色，并添加投影辅助线以连接不同深度表面上的投影网格。算法在统一计算设备架构下并行执行后，不仅能够实时生成图像支持用户的交互控制，且图像中增强深度感知的效果明显，特别是当体数据包含多个分离或者交叉物体时。
- 体绘制 /
- 深度感知 /
- 网格投影 /
- 并行执行 /
- 统一计算设备架构
Abstract: The depth information in volume data is lost in the image rendered by volume rendering technique. The existing methods of depth perception enhancement only enhance some structures in the volume data at the cost of other structures details, and they directly edit the volume rendering algorithm. For ray-casting algorithm, a method of depth perception enhancement is presented, and it does not directly edit the algorithm. Specifically, an inerratic grid is projected to the surface of volume data, and then the grid changing along surface is rendered in the final image. Users can apperceive the depth information of surface from the changed grid. Meanwhil, two methods are used to enhance the depth information of the grid projection lines, one is coloring the grid lines based on the depth, and the other one is adding accessorial lines to join the grid lines on two surfaces with different depths. When implemented using compute unified device architecture, the image is rendered in real-time under user interaction. The effect of depth perception enhancement in the final image is obvious especially when the volume data contains some disjunct or intersectant objects.
- Volume rendering /
- Depth perception /
- Grid-projection /
- Parallel implementation /
- Compute unified device architecture

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参考文献(22)

Zhang Q, Eagleson R, and Peters T M. Volume visualization: A technical overview with a focus on medical applications[J]. Journal of Digital Imaging, 2011, 24(4): 640-664.

Kersten-Oertel M, Chen S J, and Collins D L. An evaluation of depth enhancing perceptual cues for vascular volume visualization in neurosurgery[J]. IEEE Transactions on Visualization and Computer Graphics, 2014, 20(3): 391-403.

Bruckner S and M. Enhancing depth-perception with flexible volumetric halos[J]. IEEE Transactions on Visualization and Computer Graphics, 2007, 13(6): 1344-1351.

Everts M H, Bekker H, Roerdink J B, et al.. Depth-dependent halos: illustrative rendering of dense line data[J]. IEEE Transactions on Visualization and Computer Graphics, 2009, 15(6): 1299-1306.

Soltszv V, Patel D, and Viola I. Chromatic shadows for improved perception[C]. Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Non- Photorealistic Animation and Rendering, Vancouver, Canada, 2011: 105-116.

Ament M, Sadlo F, Dachsbacher C, et al.. Low-pass filtered volumetric shadows[J]. IEEE Transactions on Visualization and Computer Graphics, 2014, 20(12): 2437-2446.

Zheng Lin, Wu Ying-cai, and Ma Kwan-liu. Perceptually- based depth-ordering enhancement for direct volume rendering[J]. IEEE Transactions on Visualization and Computer Graphics, 2013, 19(3): 446-459.

Schott M, Grosset A V P, Martin T, et al.. Depth of field effects for interactive direct volume rendering[C]. Proceedings of the Eurographics/IEEE Symposium on Visualization 2011, Bergen, Norway, 2011: 941-950.

Berge C S Z, Baust M, Kapoor A, et al.. Predicate-based focus-and-context visualization for 3D ultrasound[J]. IEEE Transactions on Visualization and Computer Graphics, 2014, 20(12): 2379-2387.

Bair A S, House D H, and Ware C. Texturing of layered surfaces for optimal viewing[J]. IEEE Transactions on Visualization and Computer Graphics, 2006, 12(5): 1125-1132.

Bair A and House D. A grid with a view: optimal texturing for perception of layered surface shape[J]. IEEE Transactions on Visualization and Computer Graphics, 2007, 13(6): 1656-1663.

蒋刚毅, 朱亚培, 郁梅, 等. 基于感知的视频编码方法综述[J]. 电子与信息学报, 2013, 35(2): 474-483.

Jiang Gang-yi, Zhu Ya-pei, Yu Mei, et al.. Perceptual video coding: a survey[J]. Journal of Electronics Information Technology, 2013, 35(2): 474-483.

Interrante V, Fuchs H, and Pizer S M. Conveying the 3D shape of smoothly curving transparent surfaces via texture[J]. IEEE Transactions on Visualization and Computer Graphics, 1997, 3(2): 98-117.

Xie Jin-rong, Yu Hong-feng, and Ma Kwan-liu. Interactive ray casting of geodesic grids[C]. Proceedings of the Eurographics Conference on Visualization 2013, Leipzig, Germany, 2013: 481-490.

马千里, 李思昆, 白晓征, 等. CFD非结构化网格格心格式数据高质量体绘制方法[J]. 计算机学报, 2011, 34(3): 508-516.

Ma Qian-li, Li Si-kun, Bai Xiao-zheng, et al.. High-quality volume rendering of unstructured-grid cell-centered data in CFD[J]. Chinese Journal of Computers, 2011, 34(3): 508-516.

NVIDIA. About CUDA[OL]. https://developer.nvidia.com/ about-cuda, 2015.

Rosen P. A visual approach to investigating shared and global memory behavior of CUDA kernels[C]. Proceedings of the Eurographics Conference on Visualization 2013, Leipzig, Germany, 2013: 161-170.

Zhang Yu-bo, Dong Zhao, and Ma Kwan-liu. Real-time volume rendering in dynamic lighting environments using precomputed photon mapping[J]. IEEE Transactions on Visualization and Computer Graphics, 2013, 19(8): 1317-1330.

曾理, 倪风岳, 刘宝东, 等. 计算机统一设备架构加速外部计算机断层图像重建[J]. 电子与信息学报, 2011, 33(11): 2665-2671.

Zeng Li, Ni Feng-yue, Liu Bao-dong, et al.. Image reconstruction of exterior computed tomography accelerated by computer unified device architecture[J]. Journal of Electronics Information Technology, 2011, 33(11): 2665-2671.

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