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Efficient view-based 3d reflection symmetry detection

Published: 24 November 2014 Publication History

Abstract

Symmetries exist in many 3D models while efficiently finding their symmetry planes is important and useful for many related applications. This paper presents a simple and efficient view-based reflection symmetry detection method based on the viewpoint entropy features of a set of sample views of a 3D model. Before symmetry detection, we align the 3D model based on the Continuous Principal Component Analysis (CPCA) method. To avoid the high computational load resulting from a directly combinatorial matching among the sample views, we develop a fast symmetry plane detection method by first generating a candidate symmetry plane based on a matching pair of sample views and then verifying whether the number of remaining matching pairs is within a minimum number. Experiments demonstrate better accuracy, efficiency, and flexibility of our algorithm than state-of-the-art approaches.

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Cited By

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  • (2020)SymmetryNetACM Transactions on Graphics10.1145/3414685.341777539:6(1-14)Online publication date: 27-Nov-2020
  • (2018)3D Model Compression over ASCII Encoded Using Rotational and Reflective Symmetry2018 10th International Conference on Knowledge and Smart Technology (KST)10.1109/KST.2018.8426067(53-58)Online publication date: Jan-2018
  • (2017)Analysis of Partial Axial Symmetry on 3D Surfaces and Its Application in the Restoration of Cultural Heritage Objects2017 IEEE International Conference on Computer Vision Workshops (ICCVW)10.1109/ICCVW.2017.345(2925-2933)Online publication date: Oct-2017
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cover image ACM Other conferences
SA '14: SIGGRAPH Asia 2014 Creative Shape Modeling and Design
November 2014
23 pages
ISBN:9781450331821
DOI:10.1145/2669043
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 24 November 2014

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Author Tags

  1. matching
  2. symmetry detection
  3. viewpoint entropy

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SA'14
SA'14: SIGGRAPH Asia 2014
December 3 - 6, 2014
Shenzhen, China

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Overall Acceptance Rate 178 of 869 submissions, 20%

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Cited By

View all
  • (2020)SymmetryNetACM Transactions on Graphics10.1145/3414685.341777539:6(1-14)Online publication date: 27-Nov-2020
  • (2018)3D Model Compression over ASCII Encoded Using Rotational and Reflective Symmetry2018 10th International Conference on Knowledge and Smart Technology (KST)10.1109/KST.2018.8426067(53-58)Online publication date: Jan-2018
  • (2017)Analysis of Partial Axial Symmetry on 3D Surfaces and Its Application in the Restoration of Cultural Heritage Objects2017 IEEE International Conference on Computer Vision Workshops (ICCVW)10.1109/ICCVW.2017.345(2925-2933)Online publication date: Oct-2017
  • (2016)Case studyProceedings of the Symposium on VR Culture and Heritage - Volume 210.1145/3014027.3014032(63-66)Online publication date: 3-Dec-2016

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