Book chapter · Conference paper
An Error Analysis of Structured Light Scanning of Biological Tissue
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.
Language: | English |
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Publisher: | Springer |
Year: | 2017 |
Pages: | 135-145 |
Proceedings: | 20th Scandinavian Conference on Image Analysis |
Series: | Lecture Notes in Computer Science |
Journal subtitle: | 20th Scandinavian Conference, Scia 2017, Tromsø, Norway, June 12–14, 2017, Proceedings, Part I |
ISBN: | 3319591258 , 3319591266 , 9783319591254 and 9783319591261 |
ISSN: | 16113349 and 03029743 |
Types: | Book chapter and Conference paper |
DOI: | 10.1007/978-3-319-59126-1_12 |
ORCIDs: | Wilm, Jakob and Aanæs, Henrik |