Finding a set of optimal viewing for 3D surface reconstruction from 2D X-ray images using genetic algorithm

Simant Prakoonwit

doi:10.1109/UKRICIS.2010.5898143

Finding a set of optimal viewing for 3D surface reconstruction from 2D X-ray images using genetic algorithm

Simant Prakoonwit

University of Bedfordshire

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

Abstract

In 3D reconstruction, the efficiency and the accuracy of the reconstruction depend on the distribution of the reconstructed surface points or landmark points. This paper presents a new method, using multi-cellular genetic algorithm, to determine a set of any chosen number of projection angles that approximately provides the optimal distribution of the reconstructed surface points. This is to maximize the use of a small number of 2D X-ray to reconstruct surfaces and allow all important features to be reconstructed by using a minimum number of views. Some proof of concept computational experiments have been conducted to demonstrate the capability of the proposed method.

Original language	English
Title of host publication	nan
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781424490233
ISBN (Print)	9781424490233
DOIs	https://doi.org/10.1109/UKRICIS.2010.5898143
Publication status	Published - 1 Jan 2010
Event	2010 IEEE 9th International Conference on Cyberntic Intelligent Systems - Reading Duration: 1 Sept 2010 → 2 Sept 2010

Conference

Conference	2010 IEEE 9th International Conference on Cyberntic Intelligent Systems
City	Reading
Period	1/09/10 → 2/09/10
Other	2010 IEEE 9th International Conference on Cyberntic Intelligent Systems (01/09/2010-02/09/2010, Reading)

Keywords

image reconstruction techniques

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10.1109/UKRICIS.2010.5898143

https://ieeexplore.ieee.org/document/5898143

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title = "Finding a set of optimal viewing for 3D surface reconstruction from 2D X-ray images using genetic algorithm",

abstract = "In 3D reconstruction, the efficiency and the accuracy of the reconstruction depend on the distribution of the reconstructed surface points or landmark points. This paper presents a new method, using multi-cellular genetic algorithm, to determine a set of any chosen number of projection angles that approximately provides the optimal distribution of the reconstructed surface points. This is to maximize the use of a small number of 2D X-ray to reconstruct surfaces and allow all important features to be reconstructed by using a minimum number of views. Some proof of concept computational experiments have been conducted to demonstrate the capability of the proposed method.",

keywords = "image reconstruction techniques",

author = "Simant Prakoonwit",

year = "2010",

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doi = "10.1109/UKRICIS.2010.5898143",

language = "English",

isbn = "9781424490233",

booktitle = "nan",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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note = "2010 IEEE 9th International Conference on Cyberntic Intelligent Systems ; Conference date: 01-09-2010 Through 02-09-2010",

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T1 - Finding a set of optimal viewing for 3D surface reconstruction from 2D X-ray images using genetic algorithm

AU - Prakoonwit, Simant

PY - 2010/1/1

Y1 - 2010/1/1

N2 - In 3D reconstruction, the efficiency and the accuracy of the reconstruction depend on the distribution of the reconstructed surface points or landmark points. This paper presents a new method, using multi-cellular genetic algorithm, to determine a set of any chosen number of projection angles that approximately provides the optimal distribution of the reconstructed surface points. This is to maximize the use of a small number of 2D X-ray to reconstruct surfaces and allow all important features to be reconstructed by using a minimum number of views. Some proof of concept computational experiments have been conducted to demonstrate the capability of the proposed method.

AB - In 3D reconstruction, the efficiency and the accuracy of the reconstruction depend on the distribution of the reconstructed surface points or landmark points. This paper presents a new method, using multi-cellular genetic algorithm, to determine a set of any chosen number of projection angles that approximately provides the optimal distribution of the reconstructed surface points. This is to maximize the use of a small number of 2D X-ray to reconstruct surfaces and allow all important features to be reconstructed by using a minimum number of views. Some proof of concept computational experiments have been conducted to demonstrate the capability of the proposed method.

KW - image reconstruction techniques

U2 - 10.1109/UKRICIS.2010.5898143

DO - 10.1109/UKRICIS.2010.5898143

M3 - Conference contribution

SN - 9781424490233

BT - nan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2010 IEEE 9th International Conference on Cyberntic Intelligent Systems

Y2 - 1 September 2010 through 2 September 2010

ER -

Finding a set of optimal viewing for 3D surface reconstruction from 2D X-ray images using genetic algorithm

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