An Error Analysis of Structured Light Scanning of Biological Tissue

Sebastian Hoppe Nesgaard Jensen, Jakob Wilm, Henrik Aanæs

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

This paper presents an error analysis and correction model for four structured light methods applied to three common types of biological tissue; skin, fat and muscle. Despite its many advantages, structured light is based on the assumption of direct reflection at the object surface only. This assumption is violated by most biological material e.g. human skin, which exhibits subsurface scattering. In this study, we find that in general, structured light scans of biological tissue deviate significantly from the ground truth. We show that a large portion of this error can be predicted with a simple, statistical linear model based on the scan geometry. As such, scans can be corrected without introducing any specially designed pattern strategy or hardware. We can effectively reduce the error in a structured light scanner applied to biological tissue by as much as factor of two or three.
Original languageEnglish
Title of host publicationImage Analysis
PublisherSpringer
Publication date2017
Pages135-145
ISBN (Print)978-3-319-59125-4
DOIs
Publication statusPublished - 2017
Event20th Scandinavian Conference on Image Analysis - Tromsø, Norway
Duration: 12 Jun 201714 Jun 2017

Conference

Conference20th Scandinavian Conference on Image Analysis
CountryNorway
CityTromsø
Period12/06/201714/06/2017
SeriesLecture Notes in Computer Science
Volume10269
ISSN0302-9743

Keywords

  • 3D reconstruction
  • Error modeling
  • Structured light

Cite this

Jensen, S. H. N., Wilm, J., & Aanæs, H. (2017). An Error Analysis of Structured Light Scanning of Biological Tissue. In Image Analysis (pp. 135-145). Springer. Lecture Notes in Computer Science, Vol.. 10269 https://doi.org/10.1007/978-3-319-59126-1_12
Jensen, Sebastian Hoppe Nesgaard ; Wilm, Jakob ; Aanæs, Henrik. / An Error Analysis of Structured Light Scanning of Biological Tissue. Image Analysis. Springer, 2017. pp. 135-145 (Lecture Notes in Computer Science, Vol. 10269).
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Jensen, SHN, Wilm, J & Aanæs, H 2017, An Error Analysis of Structured Light Scanning of Biological Tissue. in Image Analysis. Springer, Lecture Notes in Computer Science, vol. 10269, pp. 135-145, 20th Scandinavian Conference on Image Analysis, Tromsø, Norway, 12/06/2017. https://doi.org/10.1007/978-3-319-59126-1_12

An Error Analysis of Structured Light Scanning of Biological Tissue. / Jensen, Sebastian Hoppe Nesgaard; Wilm, Jakob; Aanæs, Henrik.

Image Analysis. Springer, 2017. p. 135-145 (Lecture Notes in Computer Science, Vol. 10269).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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AB - This paper presents an error analysis and correction model for four structured light methods applied to three common types of biological tissue; skin, fat and muscle. Despite its many advantages, structured light is based on the assumption of direct reflection at the object surface only. This assumption is violated by most biological material e.g. human skin, which exhibits subsurface scattering. In this study, we find that in general, structured light scans of biological tissue deviate significantly from the ground truth. We show that a large portion of this error can be predicted with a simple, statistical linear model based on the scan geometry. As such, scans can be corrected without introducing any specially designed pattern strategy or hardware. We can effectively reduce the error in a structured light scanner applied to biological tissue by as much as factor of two or three.

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Jensen SHN, Wilm J, Aanæs H. An Error Analysis of Structured Light Scanning of Biological Tissue. In Image Analysis. Springer. 2017. p. 135-145. (Lecture Notes in Computer Science, Vol. 10269). https://doi.org/10.1007/978-3-319-59126-1_12