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Landmark-Free Method for Three-Dimensional Shape Analysis.

Title: A Landmark-Free Method for Three-Dimensional Shape Analysis.
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Name(s): Pomidor, Benjamin J, author
Makedonska, Jana, author
Slice, Dennis E, author
Type of Resource: text
Genre: Journal Article
Text
Date Issued: 2016-03-08
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: The tools and techniques used in morphometrics have always aimed to transform the physical shape of an object into a concise set of numerical data for mathematical analysis. The advent of landmark-based morphometrics opened new avenues of research, but these methods are not without drawbacks. The time investment required of trained individuals to accurately landmark a data set is significant, and the reliance on readily-identifiable physical features can hamper research efforts. This is especially true of those investigating smooth or featureless surfaces. In this paper, we present a new method to perform this transformation for data obtained from high-resolution scanning technology. This method uses surface scans, instead of landmarks, to calculate a shape difference metric analogous to Procrustes distance and perform superimposition. This is accomplished by building upon and extending the Iterative Closest Point algorithm. We also explore some new ways this data can be used; for example, we can calculate an averaged surface directly and visualize point-wise shape information over this surface. Finally, we briefly demonstrate this method on a set of primate skulls and compare the results of the new methodology with traditional geometric morphometric analysis.
Identifier: FSU_pmch_26953573 (IID), 10.1371/journal.pone.0150368 (DOI), PMC4783062 (PMCID), 26953573 (RID), 26953573 (EID), PONE-D-15-18418 (PII)
Publication Note: This NIH-funded author manuscript originally appeared in PubMed Central at https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4783062.
Subject(s): Algorithms
Models, Theoretical
Persistent Link to This Record: http://purl.flvc.org/fsu/fd/FSU_pmch_26953573
Host Institution: FSU
Is Part Of: PloS one.
1932-6203
Issue: iss. 3, vol. 11

Choose the citation style.
Pomidor, B. J., Makedonska, J., & Slice, D. E. (2016). A Landmark-Free Method for Three-Dimensional Shape Analysis. Plos One. Retrieved from http://purl.flvc.org/fsu/fd/FSU_pmch_26953573