An Error Analysis of Structured Light Scanning of Biological Tissue

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2017Researchpeer-review

Standard

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 proceedings – Annual report year: 2017Researchpeer-review

Harvard

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

APA

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

CBE

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

MLA

Vancouver

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

Author

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).

Bibtex

@inproceedings{bea679f5fa12427d956c45cb0ee0d1a0,
title = "An Error Analysis of Structured Light Scanning of Biological Tissue",
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.",
keywords = "3D reconstruction, Error modeling, Structured light",
author = "Jensen, {Sebastian Hoppe Nesgaard} and Jakob Wilm and Henrik Aan{\ae}s",
year = "2017",
doi = "10.1007/978-3-319-59126-1_12",
language = "English",
isbn = "978-3-319-59125-4",
pages = "135--145",
booktitle = "Image Analysis",
publisher = "Springer",

}

RIS

TY - GEN

T1 - An Error Analysis of Structured Light Scanning of Biological Tissue

AU - Jensen, Sebastian Hoppe Nesgaard

AU - Wilm, Jakob

AU - Aanæs, Henrik

PY - 2017

Y1 - 2017

N2 - 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.

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.

KW - 3D reconstruction

KW - Error modeling

KW - Structured light

U2 - 10.1007/978-3-319-59126-1_12

DO - 10.1007/978-3-319-59126-1_12

M3 - Article in proceedings

SN - 978-3-319-59125-4

SP - 135

EP - 145

BT - Image Analysis

PB - Springer

ER -