Alternative 2D shape representations using the symmetry set

被引:7
|
作者
Kuijper, Arjan [1 ]
Olsen, Ole Fogh
Giblin, Peter
Nielsen, Mads
机构
[1] Radon Inst Computat & Appl Math, Linz, Austria
[2] IT Univ Copenhagen, Copenhagen, Denmark
[3] Univ Liverpool, Liverpool L69 3BX, Merseyside, England
关键词
shapes; symmetry set; pre-symmetry set; anti-symmetry set; geometry; skeletons; medial axis;
D O I
10.1007/s10851-006-8372-2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Among the many attempts made to represent families of 2D shapes in a simpler way, the Medial Axis (MA) takes a prominent place. Its graphical representation is intuitively appealing and can be computed efficiently. Small perturbations of the shape can have large impact on the MA and are regarded as instabilities, although these changes are mathematically known from the investigations on a super set, the Symmetry Set (SS). This set has mainly been in a mathematical research stage, partially due to computational aspects, and partially due to its unattractive representation in the plane. In this paper novel methods are introduced to overcome both aspects. As a result, it is possible to represent the SS as a string is presented. The advantage of such a structure is that it allows fast and simple query algorithms for comparisons. Second, alternative ways to visualize the SS are presented. They use the distances from the shape to the set as extra dimension as well as the so-called pre-Symmetry Set and anti-Symmetry Set. Information revealed by these representations can be used to calculate the linear string representation structure. Example shapes from a data base are shown and their data structures derived.
引用
收藏
页码:127 / 147
页数:21
相关论文
共 50 条
  • [31] 2D image-based reconstruction of shape deformation of biological structures using a level-set representation
    Fablet, R.
    Pujolle, S.
    Chessel, A.
    Benzinou, A.
    Cao, F.
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2008, 111 (03) : 295 - 306
  • [32] Detecting mirror-symmetry of a volumetric shape from its single 2D image
    Sawada, Tadamasa
    Pizlo, Zygmunt
    2008 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, VOLS 1-3, 2008, : 190 - 197
  • [33] Shattering a set of objects in 2D
    Nandy, SC
    Asano, T
    Harayama, T
    DISCRETE APPLIED MATHEMATICS, 2002, 122 (1-3) : 183 - 194
  • [34] Shape priors for level set representations
    Rousson, M
    Paragios, N
    COMPUTER VISION - ECCV 2002, PT II, 2002, 2351 : 78 - 92
  • [35] A mean string algorithm to compute a set of 2D shapes the average among a set of 2D shapes
    Sánchez, G
    Lladós, J
    Tombre, K
    PATTERN RECOGNITION LETTERS, 2002, 23 (1-3) : 203 - 213
  • [36] Mental Number Representations in 2D Space
    Sixtus, Elena
    Lonnemann, Jan
    Fischer, Martin H.
    Werner, Karsten
    FRONTIERS IN PSYCHOLOGY, 2019, 10
  • [37] 2D Shape Classification and Retrieval
    McNeill, Graham
    Vijayakumar, Sethu
    19TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-05), 2005, : 1483 - 1488
  • [38] Efficient 2D shape orientation
    Ha, VHS
    Moura, JMF
    2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 1, PROCEEDINGS, 2003, : 225 - 228
  • [39] Pseudofractal 2D Shape Recognition
    Gdawiec, Krzysztof
    ROUGH SET AND KNOWLEDGE TECHNOLOGY (RSKT), 2010, 6401 : 403 - 410
  • [40] Transition from adjoint level set topology to shape optimization for 2D fluid mechanics
    Koch, J. R. L.
    Papoutsis-Kiachagias, E. M.
    Giannakoglou, K. C.
    COMPUTERS & FLUIDS, 2017, 150 : 123 - 138