Feature sensitive multiscale editing on surfaces

被引:33
|
作者
Clarenz, U
Griebel, M
Rumpf, M
Schweitzer, MA
Telea, A
机构
[1] Eindhoven Univ Technol, Dept Math & Comp Sci, NL-5600 MB Eindhoven, Netherlands
[2] Univ Duisburg Gesamthsch, Fachbereich Math, D-47048 Duisburg, Germany
[3] Univ Bonn, Inst Angew Math, D-53115 Bonn, Germany
来源
VISUAL COMPUTER | 2004年 / 20卷 / 05期
关键词
surface processing; algebraic multigrid; multiscale feature detection;
D O I
10.1007/s00371-004-0245-3
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
A novel editing method for large triangular meshes is presented. We detect surface features, such as edge and corners, by computing local zero and first surface moments, using a robust and noise resistant method. The feature detection is encoded in a finite element matrix, passed to an algebraic multigrid (AMG) algorithm. The AMG algorithm generates a matrix hierarchy ranging from fine to coarse representations of the initial fine grid matrix. This hierarchy comes along with a corresponding multiscale of basis functions, which reflect the surface features on all hierarchy levels. We consider either these basis functions or distinct sets from an induced multiscale domain decomposition as handles for surface manipulation. We present a multiscale editor which enables Boolean operations on this domain decomposition and simply algebraic operations on the basis functions. Users can interactively design their favorite surface handles by simple grouping operations on the multiscale of domains. Several applications on large meshes underline the effectiveness and flexibility of the presented tool.
引用
收藏
页码:329 / 343
页数:15
相关论文
共 50 条
  • [21] Adaptive multiscale feature for object detection
    Yu, Xiaoyong
    Wu, Siyuan
    Lu, Xiaoqiang
    Gao, Guilong
    NEUROCOMPUTING, 2021, 449 : 146 - 158
  • [22] Multiscale Feature Fusion for Face Identification
    Wei, Xin
    Wang, Hui
    Wan, Huan
    Scotney, Bryan
    2017 3RD IEEE INTERNATIONAL CONFERENCE ON CYBERNETICS (CYBCONF), 2017, : 1 - 6
  • [23] MAMMOGRAPHIC FEATURE ENHANCEMENT BY MULTISCALE ANALYSIS
    LAINE, AF
    SCHULER, S
    FAN, J
    HUDA, W
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 1994, 13 (04) : 725 - 740
  • [24] Cascaded Network for Multiscale Feature Extraction
    Khan, Muhammad Zubair
    Khan, Muazzam Ali
    Copus, Belinda
    2024 IEEE 12TH INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS, ICHI 2024, 2024, : 46 - 50
  • [25] Creating and editing curves on subdivision surfaces
    Loviscach, J
    Thöle, H
    XVI BRAZILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING, PROCEEDINGS, 2003, : 75 - 80
  • [26] Feature sensitive remeshing
    Vorsatz, J
    Rössl, C
    Kobbelt, LP
    Seidel, HP
    COMPUTER GRAPHICS FORUM, 2001, 20 (03) : C393 - C401
  • [27] A multiscale fairing method for textured surfaces
    Clarenz, U
    Diewald, U
    Rumpf, M
    VISUALIZATION AND MATHEMATICS III, 2003, : 245 - 260
  • [28] Multiscale Surfaces and Amontons’ Law of Friction
    J. R. Barber
    Tribology Letters, 2013, 49 : 539 - 543
  • [29] On stickiness of multiscale randomly rough surfaces
    Violano, G.
    Afferrante, L.
    Papangelo, A.
    Ciavarella, M.
    JOURNAL OF ADHESION, 2021, 97 (06): : 509 - 527
  • [30] Multiscale similarity characterization of abraded surfaces
    Bigerelle, M.
    Dalla-Costa, M.
    Najjar, D.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2007, 221 (10) : 1473 - 1484