Tribox bounds for three-dimensional objects

被引:8
|
作者
Crosnier, A
Rossignac, JR
机构
[1] LIRMM, F-34392 Montpellier 5, France
[2] Georgia Inst Technol, Coll Comp, GVU Ctr, Atlanta, GA 30332 USA
来源
COMPUTERS & GRAPHICS-UK | 1999年 / 23卷 / 03期
关键词
D O I
10.1016/S0097-8493(99)00061-8
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
A convex hull H(S) of a 3D set S is rarely used to accelerate interference detection or as a substitute for rendering small projection of S, because it typically has too many faces. An axis aligned bounding box B(S) is cheaper to display and more effective at detecting that two distant objects are clearly disjoint, but is a conservative approximation of S. We propose to use a tribox T(S) as a compromise. T(S) is a tighter bound that B(S) and is cheaper to display and to test for interference than H(S). T(S) is the intersection of three bounding boxes formed in three different coordinate systems, each obtained by rotating the global coordinate system by 45 degrees around one of the principal axes. T(S) has at most 18 polygonal faces. We present an algorithm for computing the boundary of T(S), given its 18 parameters - the endpoints of the intervals containing the projection of the vertices of S onto 9 directions. Given the 18 projection bounds, our algorithm requires only 24 shifts and at most 112 additions. We also describe a simple technique for building a hierarchical multi-resolution representation, which approximates a 3D shape at different level of details by unions of triboxes. (C) 1999 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:429 / 437
页数:9
相关论文
共 50 条
  • [1] Visualization of real three-dimensional objects
    Huang, Q
    Liu, Y
    Hu, GZ
    COMPUTER APPLICATIONS IN INDUSTRY AND ENGINEERING, 2001, : 287 - 290
  • [3] Goniospectral imaging of three-dimensional objects
    Haneishi, H
    Iwanami, T
    Honma, T
    Tsumura, N
    Miyake, Y
    JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY, 2001, 45 (05) : 451 - 456
  • [4] The perception of transparent three-dimensional objects
    Purves, D
    Andrews, TJ
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1997, 94 (12) : 6517 - 6522
  • [5] Treating three-dimensional paper objects
    Monjeau, Nicole
    Icon News, 2015, (59): : 14 - 17
  • [6] Fragile watermarking of three-dimensional objects
    Yeung, M
    Yeo, BL
    1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 2, 1998, : 442 - 446
  • [7] Learning to recognize three-dimensional objects
    Roth, D
    Yang, MH
    Ahuja, N
    NEURAL COMPUTATION, 2002, 14 (05) : 1071 - 1103
  • [8] Recognition of polychromatic three-dimensional objects
    Esteve-Taboada, JJ
    Palmer, N
    Giannessini, JC
    García, J
    Ferreira, C
    APPLIED OPTICS, 2004, 43 (02) : 433 - 441
  • [9] The color constancy of three-dimensional objects
    Xiao, Bei
    Hurst, Brendan
    MacIntyre, Lauren
    Brainard, David H.
    JOURNAL OF VISION, 2012, 12 (04): : 1 - 15
  • [10] Spectral tomography of three-dimensional objects
    Bulygin, FV
    Levin, GG
    OPTIKA I SPEKTROSKOPIYA, 1995, 79 (06): : 973 - 978