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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): Slice, Dennis, author
Pomidor, Benjamin J., author
Type of Resource: text
Genre: Text
Date Issued: 2016-03-08
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: Background 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. Methods 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_libsubv1_scholarship_submission_1475156153 (IID), 10.1371/journal.pone.0150368 (DOI)
Publication Note: Publisher's Version Also Available at http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0150368
Preferred Citation: Pomidor, B. J., Makedonska, J., & Slice, D. E. (2016). A Landmark-Free Method for Three-Dimensional Shape Analysis. PloS one, 11(3), e0150368.
Persistent Link to This Record: http://purl.flvc.org/fsu/fd/FSU_libsubv1_scholarship_submission_1475156153
Owner Institution: FSU
Is Part Of: PLoS One.

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Slice, D., & Pomidor, B. J. (2016). A Landmark-Free Method for Three-Dimensional Shape Analysis. Plos One. Retrieved from http://purl.flvc.org/fsu/fd/FSU_libsubv1_scholarship_submission_1475156153