3D visualization of radioactive sources by combining depth maps generated from a stereo radiation detection device

Pathum Rathnayaka, Seung Hae Baek, Soon Yong Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper proposes a simple, yet efficient, idea to visualize the shape and complete spatial distribution of radioactive sources. We used our previously studied gamma radiation detection device to capture stereo images of radioactive sources (using gamma camera) and 2D vision scanning environment (using vision camera). To generate a complete 3D model of radioactive sources and to see their distribution in the scanning area, we captured stereo images at different locations by freely moving the detector. We used the well-known Semi-global Block Matching algorithm to create both radiation and vision disparity images at each location and generated corresponding 3D reconstruction results by calculating depth values. Color ICP-based registration is performed on each individual reconstruction result to generate integrated 3D models for spatial area and radioactive sources, separately. These two integrated models are merged with each other to visualize the complete shape of radioactive sources and its distribution in the scanning environment. A graphical example is presented to show that the proposed method is capable of generating neat 3D models in real-time.

Original languageEnglish
Title of host publicationAdvanced Concepts for Intelligent Vision Systems - 18th International Conference, ACIVS 2017, Proceedings
EditorsJacques Blanc-Talon, Dan Popescu, Paul Scheunders, Wilfried Philips, Rudi Penne
PublisherSpringer Verlag
Pages701-710
Number of pages10
ISBN (Print)9783319703527
DOIs
StatePublished - 2017
Event18th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2017 - Antwerp, Belgium
Duration: 18 Sep 201721 Sep 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10617 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2017
Country/TerritoryBelgium
CityAntwerp
Period18/09/1721/09/17

Keywords

  • 3D reconstruction
  • Color ICP
  • Disparity
  • Radioactive sources
  • Rectification
  • Registration
  • Stereo matching

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