Bending invariant representations for surfaces

被引:0
|
作者
Elad, A [1 ]
Kimmel, R [1 ]
机构
[1] Technion Israel Inst Technol, Dept Comp Sci, IL-32000 Haifa, Israel
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Isometric surfaces share the same geometric structure also known as the 'first fundamental form'. For example, all possible bending of a given surface, that include all length preserving deformations without. tearing or stretching the surface, are considered to be isometric. We present a method to construct a bending invariant canonical form for such surfaces. This invariant representation is an embedding of the intrinsic geodesic structure of the surface in a finite dimensional Euclidean space, in which geodesic distances are approximated by Euclidean ones. The canonical representation is constructed by first measuring the inter geodesic distances between points on the surfaces. Next, multi-dimensional scaling (MDS) techniques are applied to extract a finite dimensional flat space in which geodesic distances are represented as Euclidean ones. The geodesic distances are measured by the efficient fast marching on triangulated domains' numerical algorithm. Applying this transform to various objects with similar geodesic structures (similar first fundamental form) maps isometric objects into similar canonical forms. We show a simple surface classification method based on the bending invariant canonical form.
引用
收藏
页码:168 / 174
页数:7
相关论文
共 50 条
  • [41] Invariant convex sets in polar representations
    Leonardo Biliotti
    Alessandro Ghigi
    Peter Heinzner
    Israel Journal of Mathematics, 2016, 213 : 423 - 441
  • [42] Better representations: Invariant, disentangled and reusable
    Montavon, Grégoire
    Müller, Klaus-Robert
    Montavon, G. (gregoire.montavon@tu-berlin.de), 1600, Springer Verlag, Tiergartenstrasse 17, Heidelberg, D-69121, Germany (7700 LECTURE NO): : 559 - 560
  • [43] Invariant representations of mass in the human brain
    Schwettmann, Sarah
    Tenenbaum, Joshua B.
    Kanwisher, Nancy
    ELIFE, 2019, 8
  • [44] Learning Invariant Representations with Missing Data
    Goldstein, Mark
    Puli, Aahlad
    Ranganath, Rajesh
    Jacobsen, Jorn-Henrik
    Chau, Olina
    Saporta, Adriel
    Miller, Andrew C.
    CONFERENCE ON CAUSAL LEARNING AND REASONING, VOL 177, 2022, 177
  • [45] Invariant Representations without Adversarial Training
    Moyer, Daniel
    Gao, Shuyang
    Brekelmans, Rob
    Steeg, Greg Ver
    Galstyan, Aram
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 2018, 31
  • [46] Surfaces defined by bending of knots
    Rancic, Svetozar R.
    Najdanovic, Marija S.
    Velimirovic, Ljubica S.
    FILOMAT, 2023, 37 (25) : 8635 - 8640
  • [47] BENDING OF SURFACES HAVING AN EDGE
    FOMENKO, VT
    DOKLADY AKADEMII NAUK SSSR, 1963, 151 (04): : 793 - &
  • [48] Bending of surfaces. III
    Ivanova-Karatopraklieva I.
    Markov P.E.
    Sabitov I.Kh.
    Journal of Mathematical Sciences, 2008, 149 (1) : 861 - 895
  • [49] Invariant singular minimal surfaces
    Lopez, Rafael
    ANNALS OF GLOBAL ANALYSIS AND GEOMETRY, 2018, 53 (04) : 521 - 541
  • [50] Invariant surfaces of variable stability
    Shchepakina, Elena
    Sobolev, Vladimir
    MURPHYS-HSFS-2014: 7TH INTERNATIONAL WORKSHOP ON MULTI-RATE PROCESSES & HYSTERESIS (MURPHYS) & THE 2ND INTERNATIONAL WORKSHOP ON HYSTERESIS AND SLOW-FAST SYSTEMS (HSFS), 2016, 727