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.

Publication Information

Output type

Research Output:

Chapter in Book/Report/Conference proceeding

Conference contribution

Peer-review

Original language

English

Publication milestones

Published - 01/01/2010

Publication status

Published - 01/01/2010

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781424490233

ISBN (Electronic)

9781424490233

Publication IDs

handle.net: 10547/281735
Scopus: 79960347286

Host publication title

nan

Access to documents

10.1109/UKRICIS.2010.5898143

Handle.net

Persistent link

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Related Event

Title

2010 IEEE 9th International Conference on Cyberntic Intelligent Systems

Description

2010 IEEE 9th International Conference on Cyberntic Intelligent Systems (01/09/2010-02/09/2010, Reading)

Event type

Conference

Date

01/09/2010 - 02/09/2010

Location

Reading