A Spherical Volume-Rendering Method of Ocean Scalar Data Based on Adaptive Ray Casting

被引:2
|
作者
Li, Weijie [1 ]
Liang, Changxia [2 ]
Yang, Fan [3 ]
Ai, Bo [1 ]
Shi, Qingtong [1 ]
Lv, Guannan [4 ]
机构
[1] Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Peoples R China
[2] South China Sea Marine Forecast Ctr, Minist Nat Resources, Guangzhou 510300, Peoples R China
[3] Qingdao Meteorol Serv Ctr, Qingdao 266003, Peoples R China
[4] Qingdao Yuehai Informat Serv Co Ltd, Qingdao 266590, Peoples R China
基金
中国国家自然科学基金;
关键词
ocean scalar field; adaptive ray casting; terrain fusion method; nonlinear color mapping; transparency transfer function; structure extraction;
D O I
10.3390/ijgi12040153
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
There are some limitations in traditional ocean scalar field visualization methods, such as inaccurate expression and low efficiency in the three-dimensional digital Earth environment. This paper presents a spherical volume-rendering method based on adaptive ray casting to express ocean scalar field. Specifically, the minimum bounding volume based on spherical mosaic is constructed as the proxy geometry, and the depth texture of the seabed terrain is applied to determine the position of sampling points in the spatial interpolation process, which realizes the fusion of ocean scalar field and seabed terrain. Then, we propose an adaptive sampling step algorithm according to the heterogeneous depth distribution and data change rate of the ocean scalar field dataset to improve the efficiency of the ray-casting algorithm. In addition, this paper proposes a nonlinear color-mapping enhancement scheme based on the skewness characteristics of the datasets to optimize the expression effect of volume rendering, and the transparency transfer function is designed to realize volume rendering and local feature structure extraction of ocean scalar field data in the study area.
引用
收藏
页数:19
相关论文
共 50 条
  • [41] Evaluation of vascular access using 3D echogram by means of volume-rendering method in dialyzed patients
    Ogawa, T.
    Maeda, T.
    Kanayama, Y.
    Sasagawa, S.
    Mochitsuki, T.
    Shinji, N.
    Matsuda, A.
    Matsumura, O.
    Mitarai, T.
    BLOOD PURIFICATION, 2006, 24 (5-6) : 481 - 482
  • [42] Accurate Volume Rendering based on Adaptive Numerical Integration
    Campagnolo, Leonardo Quatrin
    Celes, Waldemar
    de Figueiredo, Luiz Henrique
    2015 28TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES, 2015, : 17 - 24
  • [43] PARM: Data structure for efficient volume ray casting
    Lim, Sukhyun
    Shin, Byeong-Seok
    COMPUTER AND INFORMATION SCIENCES - ISCIS 2006, PROCEEDINGS, 2006, 4263 : 296 - +
  • [44] Volume rendering based on sorted volumetric data
    Zhuge, Bin
    Feng, Huan-Qing
    Zhou, He-Qin
    Hangtian Yixue Yu Yixue Gongcheng/Space Medicine and Medical Engineering, 2003, 16 (04):
  • [45] A marching voxels method for surface rendering of volume data
    Lin, CF
    Yang, DL
    Chung, YC
    COMPUTER GRAPHICS INTERNATIONAL 2001, PROCEEDINGS, 2001, : 306 - 313
  • [46] Volume-rendering reconstruction with stereo vision of CT data sets of complex humeral head fractures: Impact on surgery planning
    Treumann, TC
    Caspar, U
    Birrer, K
    Allgayer, BR
    Babst, R
    Schoenhofen, H
    RADIOLOGY, 2000, 217 : 529 - 529
  • [47] Parallel volume rendering based on LOD method
    Gao, Xiwei
    Lin, Hai
    2010 4TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING (ICBBE 2010), 2010,
  • [48] The Evaluation of Direct Volume Rendering-Based Uncertainty Visualization Techniques for 3D Scalar Data
    Ma, Ji
    Murphy, David
    Provan, Gregory
    O'Mathuna, Cian
    Hayes, Michael
    INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, 2014, 14 (04)
  • [49] Ray casting on shared-memory architectures - Memory-hierarchy considerations in volume rendering
    Palmer, ME
    Totty, B
    Taylor, S
    IEEE CONCURRENCY, 1998, 6 (01): : 20 - +
  • [50] AN INTERACTIVE CONCAVE VOLUME CLIPPING METHOD BASED ON GPU RAY CASTING WITH BOOLEAN OPERATION
    Yuan, Feiniu
    COMPUTING AND INFORMATICS, 2012, 31 (03) : 551 - 571