3D texture-based hybrid visualizations

被引:1
|
作者
Boada, I
Navazo, I
机构
[1] Univ Girona, Inst Informat & Aplicac, Girona 17071, Spain
[2] Univ Politecn Cataluna, Dept LSI, E-08028 Barcelona, Spain
来源
COMPUTERS & GRAPHICS-UK | 2003年 / 27卷 / 01期
关键词
octrees; multiresolution; surface and volume visualization;
D O I
10.1016/S0097-8493(02)00231-5
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In this paper, the visualization of hybrid scenes that contain volume data and a fitted extracted surface is addressed. The proposed algorithm is based on a integrated octree-based representation: the "hybrid octree." The hybrid octree allows to obtain multiresolution representation of the volume data and it also maintains a decimated surface codification. The proposed visualization approach uses three-dimensional-textures for the visualization of the volume data and integrates the surface polygons using the information represented in the octree structure. The main characteristics of the method are: its capabilities to perform multiresolution hybrid visualizations and its efficient use of texture memory space. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:41 / 49
页数:9
相关论文
共 50 条
  • [1] Dynamic 3D maps and their texture-based design
    Döllner, J
    Hinrichs, K
    [J]. COMPUTER GRAPHICS INTERNATIONAL 2000, PROCEEDINGS, 2000, : 325 - 334
  • [2] Texture-based instrument segmentation in 3D ultrasound images
    Linguraru, Marius George
    Howe, Robert D.
    [J]. MEDICAL IMAGING 2006: IMAGE PROCESSING, PTS 1-3, 2006, 6144
  • [3] Toward Texture-Based 3D Level Set Image Segmentation
    Reska, Daniel
    Boldak, Cezary
    Kretowski, Marek
    [J]. IMAGE PROCESSING AND COMMUNICATIONS CHALLENGES 7, 2016, 389 : 205 - 211
  • [4] Texture-Based Eye Motion Correction for 3D OCT Imaging
    Nomir, Omaima
    Jiang, Hong
    Wang, Jianhua
    DeBuc, Delia
    [J]. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2013, 54 (15)
  • [5] Comparison of 3D Texture-Based Image Descriptors in Fluorescence Microscopy
    Majtner, Tomas
    Svoboda, David
    [J]. COMBINATORIAL IMAGE ANALYSIS, IWCIA 2014, 2014, 8466 : 186 - 195
  • [6] 3D Pose Refinement Using Rendering and Texture-Based Matching
    Zabulis, Xenophon
    Lourakis, Manolis I. A.
    Stefanou, Stefanos S.
    [J]. COMPUTER VISION AND GRAPHICS, ICCVG 2014, 2014, 8671 : 672 - +
  • [7] Size and Texture-based Classification of Lung Tumors with 3D CNNs
    Luo, ZhiHao
    Brubaker, Marcus A.
    Brudno, Michael
    [J]. 2017 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2017), 2017, : 806 - 814
  • [8] Development and experimental validation of a texture-based 3D liberation model
    Guntoro, Pratama Istiadi
    Ghorbani, Yousef
    Parian, Mehdi
    Butcher, Alan R.
    Kuva, Jukka
    Rosenkranz, Jan
    [J]. MINERALS ENGINEERING, 2021, 164
  • [9] A system for 3D texture-based probabilistic object recognition and its applications
    Grzegorzek, Marcin
    [J]. PATTERN ANALYSIS AND APPLICATIONS, 2010, 13 (03) : 333 - 348
  • [10] Maintaining constant frame rates in 3D texture-based volume rendering
    Weiskopf, D
    Weiler, M
    Ertl, T
    [J]. COMPUTER GRAPHICS INTERNATIONAL, PROCEEDINGS, 2004, : 604 - 607