Disambiguating Stereoscopic Transparency Using a Thaumatrope Approach

被引:1
|
作者
Su, Yan-Jen [1 ]
Chuang, Yung-Yu [2 ]
机构
[1] Natl Taiwan Univ, Grad Inst Networking & Multimedia, Taipei 106, Taiwan
[2] Natl Taiwan Univ, Dept Comp Sci & Informat Engn, Taipei 106, Taiwan
关键词
Stereoscopic perception; stereoscopic display; volume rendering; OCCLUSION SHADING MODEL; VOLUME; HISTOGRAMS; SIZE;
D O I
10.1109/TVCG.2015.2410273
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Volume rendering is a popular visualization technique for scientific computing and medical imaging. By assigning proper transparency, it allows us to see more information inside the volume. However, because volume rendering projects complex 3D structures into the 2D domain, the resultant visualization often suffers from ambiguity and its spatial relationship could be difficult to recognize correctly, especially when the scene or setting is highly transparent. Stereoscopic displays are not the rescue to the problem even though they add an additional dimension which seems helpful for resolving the ambiguity. This paper proposes a thaumatrope method to enhance 3D understanding with stereoscopic transparency for volume rendering. Our method first generates an additional cue with less spatial ambiguity by using a high opacity setting. To avoid cluttering the actual content, we only select its prominent feature for displaying. By alternating the actual content and the selected feature quickly, the viewer only perceives a whole volume while its spatial understanding has been enhanced. A user study was performed to compare the proposed method with the original stereoscopic volume rendering and the static combination of the actual content and the selected feature using a 3D display. Results show that the proposed thaumatrope approach provides better spatial understanding than compared approaches.
引用
收藏
页码:959 / 969
页数:11
相关论文
共 50 条
  • [21] Disambiguating effectively Chinese polyphonic ambiguity based on unify approach
    Huang, Feng-Long
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 3242 - 3246
  • [22] The Influence of Depression on Cognitive Control: Disambiguating Approach and Avoidance Tendencies
    Huang, He
    Movellan, Javier
    Paulus, Martin P.
    Harle, Katia M.
    PLOS ONE, 2015, 10 (11):
  • [23] A cascaded classification approach to disambiguating polysemous mentions with social chains
    Wei, Yu-Chuan
    Lin, Ming-Shun
    Chen, Hsin-Hsi
    EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (07) : 5404 - 5414
  • [24] Disparity estimation for high resolution stereoscopic reconstruction using the GNC approach
    Le Besnerais, G
    Oriot, H
    1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 2, 1998, : 594 - 597
  • [25] Sequential plan recognition: An iterative approach to disambiguating between hypotheses
    Mirsky, Reuth
    Stern, Roni
    Gal, Kobi
    Kalech, Meir
    ARTIFICIAL INTELLIGENCE, 2018, 260 : 51 - 73
  • [26] Disambiguating Spatial Prepositions Using Deep Convolutional Networks
    Hassani, Kaveh
    Lee, Won-Sook
    THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2017, : 3209 - 3215
  • [27] Eclipse: Disambiguating Illumination and Materials using Unintended Shadows
    Verbin, Dor
    Mildenhall, Ben
    Hedman, Peter
    Barron, Jonathan T.
    Zickler, Todd
    Srinivasan, Pratul P.
    2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2024, 2024, : 77 - 86
  • [28] DISC: Disambiguating homonyms using graph structural clustering
    Hussain, Ijaz
    Asghar, Sohail
    JOURNAL OF INFORMATION SCIENCE, 2018, 44 (06) : 830 - 847
  • [29] Disambiguating Publication Venue Titles using Association Rules
    Pereira, Denilson Alves
    Braga da Silva, Eduardo Emanuel
    Esmin, Ahmed A. A.
    2014 IEEE/ACM JOINT CONFERENCE ON DIGITAL LIBRARIES (JCDL), 2014, : 77 - 85
  • [30] Transparency Enhancement of Haptic Interface Using Model Matching Approach
    Desai, Indrajit
    Gupta, Abhishek
    Chakraborty, Debraj
    2016 INDIAN CONTROL CONFERENCE (ICC), 2016, : 399 - 404