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The Use of Size Functions for Comparison of Shapes Through Differential Invariants

Published: 01 September 2004 Publication History

Abstract

For comparison of shapes under subgroups of the projective group, we can use a lot of invariants and especially differential invariants coming from multiscale analysis. But such invariants, as we have to compute curvature, are very sensitive to the noise induced by the dicretization grid. In order to resolve this problem we use size functions which can recognize the “qualitative similarity” between graphs of functions that should be theorically coinciding but, unfortunately, change their values due to the presence of noise. Moreover, we focus this study on a projective differential invariant which allows to decide if one shape can be considered as the deformation of another one by a rotation of the camera.

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  • (2016)Recent Trends, Applications, and Perspectives in 3D Shape Similarity AssessmentComputer Graphics Forum10.1111/cgf.1273435:6(87-119)Online publication date: 1-Sep-2016
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Information & Contributors

Information

Published In

cover image Journal of Mathematical Imaging and Vision
Journal of Mathematical Imaging and Vision  Volume 21, Issue 2
September 2004
85 pages

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 September 2004

Author Tags

  1. 58C05 calculus on manifolds
  2. nonlinear operators
  3. real-valued functions

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View all
  • (2019)Efficient representation of size functions based on moments theoryMultimedia Tools and Applications10.1007/s11042-019-07859-978:19(27957-27982)Online publication date: 1-Oct-2019
  • (2017)A Feasibility Study for a Persistent Homology-Based k-Nearest Neighbor Search Algorithm in Melanoma DetectionJournal of Mathematical Imaging and Vision10.1007/s10851-016-0680-657:3(324-339)Online publication date: 1-Mar-2017
  • (2016)Recent Trends, Applications, and Perspectives in 3D Shape Similarity AssessmentComputer Graphics Forum10.1111/cgf.1273435:6(87-119)Online publication date: 1-Sep-2016
  • (2012)Homological methods for extraction and analysis of linear features in multidimensional imagesPattern Recognition10.1016/j.patcog.2011.04.02045:1(285-298)Online publication date: 1-Jan-2012
  • (2012)Persistence modules, shape description, and completenessProceedings of the 4th international conference on Computational Topology in Image Context10.1007/978-3-642-30238-1_16(148-156)Online publication date: 28-May-2012
  • (2011)A global method for reducing multidimensional size graphsProceedings of the 8th international conference on Graph-based representations in pattern recognition10.5555/2009206.2009208(1-11)Online publication date: 18-May-2011
  • (2009)Palm-print recognition by matrix discriminatorExpert Systems with Applications: An International Journal10.1016/j.eswa.2009.01.05236:7(10259-10265)Online publication date: 1-Sep-2009
  • (2008)Describing shapes by geometrical-topological properties of real functionsACM Computing Surveys10.1145/1391729.139173140:4(1-87)Online publication date: 15-Oct-2008
  • (2008)Multidimensional Size Functions for Shape ComparisonJournal of Mathematical Imaging and Vision10.1007/s10851-008-0096-z32:2(161-179)Online publication date: 1-Oct-2008
  • (2006)Retrieval of trademark images by means of size functionsGraphical Models10.1016/j.gmod.2006.07.00168:5(451-471)Online publication date: 1-Sep-2006

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