On Some Novel Uses of Strain Tensors Beyond Visualization in Modern Shape Analysis

Modern Shape Analysis integrates mathematical and statistical methods to study morphology using geometric data from 2D and 3D digitization. Beyond visualization, local deformation analysis offers deeper insight into longitudinal changes like ontogenetic growth. This study explores strain tensors as analytical tools for shape transformations, evaluating Thin Plate Spline, Quadratic Trend, and Cubic Trend interpolants in estimating deformation tensors at landmarks. Simulated 2D data and 3D hominid skulls confirm that tensor-based multivariate analyses, such as Principal Component Analysis, yield results comparable to Parallel Transport methods. Thin Plate Spline more accurately recovers assigned tensors than least square interpolants, making it preferable for local deformation analysis. This method integrates traditional shape comparisons, proving particularly useful for studying ontogenetic trajectories and biomechanical deformations.

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Publication Details

Journal
Mathematics
Published
2025-12-20
DOI
https://doi.org/10.3390/math14010012
Primary Topic
Morphological variations and asymmetry
Type
article
Field-Weighted Citation Impact
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article

On Some Novel Uses of Strain Tensors Beyond Visualization in Modern Shape Analysis

Franco Milicchio, Luciano Teresi, Valerio Varano, Paolo Piras et al.
Mathematics
Morphological variations and asymmetry
article

On Some Novel Uses of Strain Tensors Beyond Visualization in Modern Shape Analysis

Franco Milicchio, Luciano Teresi, Valerio Varano, Paolo Piras, Stefano Gabriele, Antonio Profico
article en

Abstract

Modern Shape Analysis integrates mathematical and statistical methods to study morphology using geometric data from 2D and 3D digitization. Beyond visualization, local deformation analysis offers deeper insight into longitudinal changes like ontogenetic growth. This study explores strain tensors as analytical tools for shape transformations, evaluating Thin Plate Spline, Quadratic Trend, and Cubic Trend interpolants in estimating deformation tensors at landmarks. Simulated 2D data and 3D hominid skulls confirm that tensor-based multivariate analyses, such as Principal Component Analysis, yield results comparable to Parallel Transport methods. Thin Plate Spline more accurately recovers assigned tensors than least square interpolants, making it preferable for local deformation analysis. This method integrates traditional shape comparisons, proving particularly useful for studying ontogenetic trajectories and biomechanical deformations.

MathematicsVol. 14(1)
University of Pisa (IT), Roma Tre University (IT), Collegio Carlo Alberto (IT)
Sustainable cities and communities
Openalex Percentile: Top 22%
Morphological variations and asymmetry
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