research-article

Surface reconstruction using 3D morphological operators for objects acquired with a multi-Kinect system

Authors:

Eliana Frigerio,

Marco Marcon, and

Stefano TubaroAuthors Info & Claims

MIRAGE '13: Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications

June 2013

Article No.: 9, Pages 1 - 8

https://doi.org/10.1145/2466715.2466719

Published: 06 June 2013 Publication History

Abstract

This paper describes an innovative extension of morphological operators to the analysis and processing of three dimensional images represented by voxels. In particular, the morphological skeleton well approximates the Medial Axis of a 3D object rendered using a net of Kinect devices: it has proven to be a really effective tool to obtain a compact representation of the object surface that is accurate and very inexpensive in terms of computational time. The reconstructed surface is representable either as a union of balls or as an iso-surface of a 3D function defined as a linear combination of elementary functions with radial support. Furthermore, the representation is easily processable and hierarchically interpretable. The morphological operators neither require any prior information on the reconstructed volume, nor impose any resolution requirement on the object under analysis. The only input for morphological operators is a volume of voxels. Information on the volume nature or resolution requirements are related only to the particular application to which the morphological operators are applied, but do not limit the applicability of any of the proposed morphological operators.

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Cited By

Kumar AKumar NSaini R(2021)To Study the Effect of Varying Camera Parameters in the Process of Matching and ReconstructionRecent Innovations in Computing10.1007/978-981-15-8297-4_40(489-502)Online publication date: 13-Jan-2021
https://doi.org/10.1007/978-981-15-8297-4_40
Saini DKumar S(2018)A Skeleton-Based 3D Shape Reconstruction of Free-Form Objects with Stereo Vision3D Research10.1007/s13319-015-0070-76:4(1-17)Online publication date: 20-Dec-2018
https://dl.acm.org/doi/10.1007/s13319-015-0070-7

Index Terms

Surface reconstruction using 3D morphological operators for objects acquired with a multi-Kinect system
1. Computing methodologies
  1. Computer graphics
    1. Shape modeling
2. Theory of computation
  1. Randomness, geometry and discrete structures
    1. Computational geometry

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cover image ACM Other conferences

MIRAGE '13: Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications

June 2013

137 pages

ISBN:9781450320238

DOI:10.1145/2466715

Conference Chairs:
Peter Eisert
Fraunhofer HHI / Humboldt-Universitát zu Berlin
,
André Gagalowicz
Inria Paris - Rocquencourt, France

Copyright © 2013 ACM.

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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Humboldt Univ.: Humboldt-Universität zu Berlin
FHHI: Fraunhofer Heinrich Hertz Institute

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Association for Computing Machinery

New York, NY, United States

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Published: 06 June 2013

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MIRAGE '13

Sponsor:

Humboldt Univ.
FHHI

MIRAGE '13: 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications

June 6 - 7, 2013

Berlin, Germany

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Cited By

Kumar AKumar NSaini R(2021)To Study the Effect of Varying Camera Parameters in the Process of Matching and ReconstructionRecent Innovations in Computing10.1007/978-981-15-8297-4_40(489-502)Online publication date: 13-Jan-2021
https://doi.org/10.1007/978-981-15-8297-4_40
Saini DKumar S(2018)A Skeleton-Based 3D Shape Reconstruction of Free-Form Objects with Stereo Vision3D Research10.1007/s13319-015-0070-76:4(1-17)Online publication date: 20-Dec-2018
https://dl.acm.org/doi/10.1007/s13319-015-0070-7

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