From Unordered Range Images to 3D Models. A Fully Automatic Multiview Correspondence Algorithim

Ajmal Mian; Mohammed Bennamoun; Robyn Owens

doi:10.1109/TPCG.2004.1314466

From Unordered Range Images to 3D Models. A Fully Automatic Multiview Correspondence Algorithim

Ajmal Mian, Mohammed Bennamoun, Robyn Owens

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

10 Citations (Scopus)

Abstract

In this paper, we present a fully automatic multiview correspondence algorithm based on our tensor representation. Our algorithm can automatically establish correspondences between a set of unordered range images of an object and register them in a common coordinate basis. Existing techniques of correspondence are either manual or inefficient and require the ordering of range images according to their overlap. Our algorithm does not suffer from any such limitation. We also present a complete and fully automatic 3D modeling framework by integrating our multiview correspondence algorithm with a global registration, an integration and a surface reconstruction algorithm. Our results show that our algorithm is fully automatic, applicable to free-form objects, efficient and independent of the resolution and sampling of the range images

Original language	English
Title of host publication	Proceedings of the Theory and Practice of Computer Graphics 2004
Editors	Paul Lever
Place of Publication	Piscataway, N.J. USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	162-166
Volume	1
ISBN (Print)	0769521371
DOIs	https://doi.org/10.1109/TPCG.2004.1314466
Publication status	Published - Jun 2004
Event	From Unordered Range Images to 3D Models. A Fully Automatic Multiview Correspondence Algorithim - Bournemouth, UK Duration: 1 Jan 2004 → …

Conference

Conference	From Unordered Range Images to 3D Models. A Fully Automatic Multiview Correspondence Algorithim
Period	1/01/04 → …

Access to Document

10.1109/TPCG.2004.1314466

An Automated 3D Model-based Object Recognition System
Bennamoun, M. (Chief Investigator)
ARC Discovery Projects
1/01/03 → 31/12/05
Project: Research

Cite this

@inproceedings{9c7ef7c949ab46fdbbca8616fe308961,

title = "From Unordered Range Images to 3D Models. A Fully Automatic Multiview Correspondence Algorithim",

abstract = "In this paper, we present a fully automatic multiview correspondence algorithm based on our tensor representation. Our algorithm can automatically establish correspondences between a set of unordered range images of an object and register them in a common coordinate basis. Existing techniques of correspondence are either manual or inefficient and require the ordering of range images according to their overlap. Our algorithm does not suffer from any such limitation. We also present a complete and fully automatic 3D modeling framework by integrating our multiview correspondence algorithm with a global registration, an integration and a surface reconstruction algorithm. Our results show that our algorithm is fully automatic, applicable to free-form objects, efficient and independent of the resolution and sampling of the range images",

author = "Ajmal Mian and Mohammed Bennamoun and Robyn Owens",

year = "2004",

month = jun,

doi = "10.1109/TPCG.2004.1314466",

language = "English",

isbn = "0769521371",

volume = "1",

pages = "162--166",

editor = "Paul Lever",

booktitle = "Proceedings of the Theory and Practice of Computer Graphics 2004",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "From Unordered Range Images to 3D Models. A Fully Automatic Multiview Correspondence Algorithim ; Conference date: 01-01-2004",

}

Mian, A , Bennamoun, M & Owens, R 2004, From Unordered Range Images to 3D Models. A Fully Automatic Multiview Correspondence Algorithim. in P Lever (ed.), Proceedings of the Theory and Practice of Computer Graphics 2004. vol. 1, IEEE, Institute of Electrical and Electronics Engineers, Piscataway, N.J. USA, pp. 162-166, From Unordered Range Images to 3D Models. A Fully Automatic Multiview Correspondence Algorithim, 1/01/04. https://doi.org/10.1109/TPCG.2004.1314466

From Unordered Range Images to 3D Models. A Fully Automatic Multiview Correspondence Algorithim. / Mian, Ajmal ; Bennamoun, Mohammed ; Owens, Robyn.
Proceedings of the Theory and Practice of Computer Graphics 2004. ed. / Paul Lever. Vol. 1 Piscataway, N.J. USA: IEEE, Institute of Electrical and Electronics Engineers, 2004. p. 162-166.

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

TY - GEN

T1 - From Unordered Range Images to 3D Models. A Fully Automatic Multiview Correspondence Algorithim

AU - Mian, Ajmal

AU - Bennamoun, Mohammed

AU - Owens, Robyn

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N2 - In this paper, we present a fully automatic multiview correspondence algorithm based on our tensor representation. Our algorithm can automatically establish correspondences between a set of unordered range images of an object and register them in a common coordinate basis. Existing techniques of correspondence are either manual or inefficient and require the ordering of range images according to their overlap. Our algorithm does not suffer from any such limitation. We also present a complete and fully automatic 3D modeling framework by integrating our multiview correspondence algorithm with a global registration, an integration and a surface reconstruction algorithm. Our results show that our algorithm is fully automatic, applicable to free-form objects, efficient and independent of the resolution and sampling of the range images

AB - In this paper, we present a fully automatic multiview correspondence algorithm based on our tensor representation. Our algorithm can automatically establish correspondences between a set of unordered range images of an object and register them in a common coordinate basis. Existing techniques of correspondence are either manual or inefficient and require the ordering of range images according to their overlap. Our algorithm does not suffer from any such limitation. We also present a complete and fully automatic 3D modeling framework by integrating our multiview correspondence algorithm with a global registration, an integration and a surface reconstruction algorithm. Our results show that our algorithm is fully automatic, applicable to free-form objects, efficient and independent of the resolution and sampling of the range images

U2 - 10.1109/TPCG.2004.1314466

DO - 10.1109/TPCG.2004.1314466

M3 - Conference paper

SN - 0769521371

VL - 1

SP - 162

EP - 166

BT - Proceedings of the Theory and Practice of Computer Graphics 2004

A2 - Lever, Paul

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway, N.J. USA

T2 - From Unordered Range Images to 3D Models. A Fully Automatic Multiview Correspondence Algorithim

Y2 - 1 January 2004

ER -

From Unordered Range Images to 3D Models. A Fully Automatic Multiview Correspondence Algorithim

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An Automated 3D Model-based Object Recognition System

Cite this