The purpose of GPSA is to use the scanning technology available to researchers today to perform automated, landmark-free shape analysis. The method adapts the Iterative Closest Point (ICP) family of algorithms to the Generalized Procrustes Analysis (GPA) paradigm.

This paper introduces a novel method, Generalized Procrustes Surface Analysis (GPSA). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: The authors have declared that no competing interests exist.

įunding: This work was supported, in part, by awards W911QY-12-2-0004 from the US Army Natick Soldier Research, Development, and Engineering Center and 5004-S001 from InfoSciTex Corporation. In addition, updated data and software, if available, may be downloaded from the Florida State University, Department of Scientific Computing, Morphometrics Lab website. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: Landmark and scan data and Java source code used for this publication are available at DOI: 10.6084/m9.figshare.2057775. Received: ApAccepted: FebruPublished: March 8, 2016Ĭopyright: © 2016 Pomidor et al. Citation: Pomidor BJ, Makedonska J, Slice DE (2016) A Landmark-Free Method for Three-Dimensional Shape Analysis.

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