Supershape recovery from 3D data sets

Y. D. Fougerolle; A. Gribok; S. Foufou; E. Truchetet; M. A. Abidi

doi:10.1109/ICIP.2006.312975

Supershape recovery from 3D data sets

Y. D. Fougerolle, A. Gribok, S. Foufou, E. Truchetet, M. A. Abidi

Nuclear Science & Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Scopus citations

Abstract

In this paper, we apply supershapes and R-functions to surface recovery from 3D data sets. Individual supershapes are separately recovered from a segmented mesh. R-functions are used to perform Boolean operations between the reconstructed parts to obtain a single implicit equation of the reconstructed object that is used to define a global error reconstruction function. We present surface recovery results ranging from single synthetic data to real complex objects involving the composition of several supershapes and holes.

Original language	English
Title of host publication	2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Pages	2193-2196
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2006.312975
State	Published - 2006
Event	2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States Duration: Oct 8 2006 → Oct 11 2006

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Conference

Conference	2006 IEEE International Conference on Image Processing, ICIP 2006
Country/Territory	United States
City	Atlanta, GA
Period	10/8/06 → 10/11/06

Keywords

Boolean functions
Geometric modeling
Signal reconstruction

Access to Document

10.1109/ICIP.2006.312975

Cite this

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title = "Supershape recovery from 3D data sets",

abstract = "In this paper, we apply supershapes and R-functions to surface recovery from 3D data sets. Individual supershapes are separately recovered from a segmented mesh. R-functions are used to perform Boolean operations between the reconstructed parts to obtain a single implicit equation of the reconstructed object that is used to define a global error reconstruction function. We present surface recovery results ranging from single synthetic data to real complex objects involving the composition of several supershapes and holes.",

keywords = "Boolean functions, Geometric modeling, Signal reconstruction",

author = "Fougerolle, {Y. D.} and A. Gribok and S. Foufou and E. Truchetet and Abidi, {M. A.}",

year = "2006",

doi = "10.1109/ICIP.2006.312975",

language = "English",

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series = "Proceedings - International Conference on Image Processing, ICIP",

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note = "2006 IEEE International Conference on Image Processing, ICIP 2006 ; Conference date: 08-10-2006 Through 11-10-2006",

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Fougerolle, YD, Gribok, A, Foufou, S, Truchetet, E & Abidi, MA 2006, Supershape recovery from 3D data sets. in 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings., 4106999, Proceedings - International Conference on Image Processing, ICIP, pp. 2193-2196, 2006 IEEE International Conference on Image Processing, ICIP 2006, Atlanta, GA, United States, 10/8/06. https://doi.org/10.1109/ICIP.2006.312975

Supershape recovery from 3D data sets. / Fougerolle, Y. D.; Gribok, A.; Foufou, S. et al.
2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings. 2006. p. 2193-2196 4106999 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Supershape recovery from 3D data sets

AU - Fougerolle, Y. D.

AU - Gribok, A.

AU - Foufou, S.

AU - Truchetet, E.

AU - Abidi, M. A.

PY - 2006

Y1 - 2006

N2 - In this paper, we apply supershapes and R-functions to surface recovery from 3D data sets. Individual supershapes are separately recovered from a segmented mesh. R-functions are used to perform Boolean operations between the reconstructed parts to obtain a single implicit equation of the reconstructed object that is used to define a global error reconstruction function. We present surface recovery results ranging from single synthetic data to real complex objects involving the composition of several supershapes and holes.

AB - In this paper, we apply supershapes and R-functions to surface recovery from 3D data sets. Individual supershapes are separately recovered from a segmented mesh. R-functions are used to perform Boolean operations between the reconstructed parts to obtain a single implicit equation of the reconstructed object that is used to define a global error reconstruction function. We present surface recovery results ranging from single synthetic data to real complex objects involving the composition of several supershapes and holes.

KW - Boolean functions

KW - Geometric modeling

KW - Signal reconstruction

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DO - 10.1109/ICIP.2006.312975

M3 - Conference contribution

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SN - 1424404819

SN - 9781424404810

T3 - Proceedings - International Conference on Image Processing, ICIP

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BT - 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings

T2 - 2006 IEEE International Conference on Image Processing, ICIP 2006

Y2 - 8 October 2006 through 11 October 2006

ER -

Supershape recovery from 3D data sets

Abstract

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Conference

Keywords

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