Conference paper · Book chapter
Anatomically Correct Surface Recovery: A Statistical Approach
We present a method for 3D surface recovery in partial surface scans. The method is based on an Active Shape Model, which is used to predict missing data. The model is constructed using a bootstrap framework, where an initially small collection of hand-annotated samples is used to fit to and register unknown samples, resulting in an extensive statistical model.
The statistical recovery uses a multivariate point prediction, where the distribution of the points is given by the Active Shape Model. We show how missing data in a partial scan, once point correspondence is achieved, can be predicted using the learned statistics. A quantitative evaluation is performed on a data set of 10 laser scans of ear canal impressions with minimal noise and artificial holes.
We also present a qualitative evaluation on authentic partial scans from an actual direct in ear scanner prototype. Compared to a state-of-the-art surface reconstruction algorithm, the presented method gives matching prediction results for the synthetic evaluation samples and superior results for the direct scanner data.
Language: | English |
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Publisher: | Springer Science+Business Media |
Year: | 2015 |
Pages: | 216-227 |
Proceedings: | 19th Scandinavian Conference on Image Analysis |
Series: | Lecture Notes in Computer Science |
Journal subtitle: | 19th Scandinavian Conference, Scia 2015 Copenhagen, Denmark, June 15–17, 2015 Proceedings |
ISBN: | 3319196642 , 3319196650 , 9783319196640 and 9783319196657 |
ISSN: | 03029743 and 16113349 |
Types: | Conference paper and Book chapter |
DOI: | 10.1007/978-3-319-19665-7_18 |
ORCIDs: | Larsen, Rasmus and Paulsen, Rasmus Reinhold |