3-D visualization of AGR fuel channel bricks using Structure-from-Motion

Research output: Contribution to journalArticle

Abstract

This paper outlines a new framework for applying Structure-from-Motion (SfM) to challenging, feature-poor environments such as those observed during AGR fuel channel inspection. Deriving structural information from AGR inspection footage is challenging due to several key issues; lack of discriminative salient features within the channel, inconsistency in lighting during the inspection process, lack of textural information within the channel and noise from the inspection equipment. This presents difficulties to techniques such as SfM due to its reliance on finding and reliably tracking a set of robust features from multiple viewpoints. This paper introduces the first use of an incremental 3-D reconstruction framework which can produce reconstructions of footage obtained within a nuclear reactor. It approaches this issue by introducing a novel correspondence searching methodology which can operate within feature-poor environments by utilising a constrained, iterative threshold matching technique to obtain robust feature matches. This paper demonstrates the approach using two datasets; laboratory footage obtained from an experimental setup emulating a small sub-section of the channel and in-core inspection footage of AGR fuel channels.
Original languageEnglish
Number of pages10
JournalNuclear Engineering and Design
Publication statusAccepted/In press - 2 Dec 2019

Fingerprint

bricks
Brick
visualization
inspection
Visualization
Inspection
Inspection equipment
Nuclear reactors
nuclear reactors
Lighting
illuminating
brick
methodology
thresholds

Keywords

  • graphite
  • inspection
  • AGR cores
  • 3-D visualization
  • Structure-from-Motion
  • advanced gas-cooled reactor (AGR)

Cite this

@article{560759d868904e7fa137bd19925bbcf9,
title = "3-D visualization of AGR fuel channel bricks using Structure-from-Motion",
abstract = "This paper outlines a new framework for applying Structure-from-Motion (SfM) to challenging, feature-poor environments such as those observed during AGR fuel channel inspection. Deriving structural information from AGR inspection footage is challenging due to several key issues; lack of discriminative salient features within the channel, inconsistency in lighting during the inspection process, lack of textural information within the channel and noise from the inspection equipment. This presents difficulties to techniques such as SfM due to its reliance on finding and reliably tracking a set of robust features from multiple viewpoints. This paper introduces the first use of an incremental 3-D reconstruction framework which can produce reconstructions of footage obtained within a nuclear reactor. It approaches this issue by introducing a novel correspondence searching methodology which can operate within feature-poor environments by utilising a constrained, iterative threshold matching technique to obtain robust feature matches. This paper demonstrates the approach using two datasets; laboratory footage obtained from an experimental setup emulating a small sub-section of the channel and in-core inspection footage of AGR fuel channels.",
keywords = "graphite, inspection, AGR cores, 3-D visualization, Structure-from-Motion, advanced gas-cooled reactor (AGR)",
author = "Kristofer Law and Graeme West and Paul Murray and Chris Lynch",
year = "2019",
month = "12",
day = "2",
language = "English",
journal = "Nuclear Engineering and Design",
issn = "0029-5493",

}

TY - JOUR

T1 - 3-D visualization of AGR fuel channel bricks using Structure-from-Motion

AU - Law, Kristofer

AU - West, Graeme

AU - Murray, Paul

AU - Lynch, Chris

PY - 2019/12/2

Y1 - 2019/12/2

N2 - This paper outlines a new framework for applying Structure-from-Motion (SfM) to challenging, feature-poor environments such as those observed during AGR fuel channel inspection. Deriving structural information from AGR inspection footage is challenging due to several key issues; lack of discriminative salient features within the channel, inconsistency in lighting during the inspection process, lack of textural information within the channel and noise from the inspection equipment. This presents difficulties to techniques such as SfM due to its reliance on finding and reliably tracking a set of robust features from multiple viewpoints. This paper introduces the first use of an incremental 3-D reconstruction framework which can produce reconstructions of footage obtained within a nuclear reactor. It approaches this issue by introducing a novel correspondence searching methodology which can operate within feature-poor environments by utilising a constrained, iterative threshold matching technique to obtain robust feature matches. This paper demonstrates the approach using two datasets; laboratory footage obtained from an experimental setup emulating a small sub-section of the channel and in-core inspection footage of AGR fuel channels.

AB - This paper outlines a new framework for applying Structure-from-Motion (SfM) to challenging, feature-poor environments such as those observed during AGR fuel channel inspection. Deriving structural information from AGR inspection footage is challenging due to several key issues; lack of discriminative salient features within the channel, inconsistency in lighting during the inspection process, lack of textural information within the channel and noise from the inspection equipment. This presents difficulties to techniques such as SfM due to its reliance on finding and reliably tracking a set of robust features from multiple viewpoints. This paper introduces the first use of an incremental 3-D reconstruction framework which can produce reconstructions of footage obtained within a nuclear reactor. It approaches this issue by introducing a novel correspondence searching methodology which can operate within feature-poor environments by utilising a constrained, iterative threshold matching technique to obtain robust feature matches. This paper demonstrates the approach using two datasets; laboratory footage obtained from an experimental setup emulating a small sub-section of the channel and in-core inspection footage of AGR fuel channels.

KW - graphite

KW - inspection

KW - AGR cores

KW - 3-D visualization

KW - Structure-from-Motion

KW - advanced gas-cooled reactor (AGR)

UR - https://www.sciencedirect.com/journal/nuclear-engineering-and-design

M3 - Article

JO - Nuclear Engineering and Design

JF - Nuclear Engineering and Design

SN - 0029-5493

ER -