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Procrustes Analysis with Deformations: A Closed-Form Solution by Eigenvalue Decomposition
Generalized Procrustes Analysis (GPA) is the problem of bringing multiple shapes into a common reference by estimating transformations. GPA has been...
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On-the-Fly Deformations for Keyword Spotting
Modern Keyword Spotting systems rely on deep learning approaches to build effective neural networks which provide state-of-the-art results. Despite... -
Regularized Kelvinlet Functions to Model Linear Elasticity for Image-to-Physical Registration of the Breast
Image-guided surgery requires fast and accurate registration to align preoperative imaging and surgical spaces. The breast undergoes large nonrigid... -
Learning Free-Form Deformations for 3D Object Reconstruction
Representing 3D shape in deep learning frameworks in an accurate, efficient and compact manner still remains an open challenge. Most existing work... -
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Statistical Analysis of Organs’ Shapes and Deformations: The Riemannian and the Affine Settings in Computational Anatomy
Computational anatomy is an emerging discipline at the interface of geometry, statistics, and medicine that aims at analyzing and modeling the... -
A Novel Computational Approach for Wind-Driven Flows over Deformable Topography
Single-layer shallow water models have been widely used for simulating shallow water waves over both fixed and movable beds. However, these models... -
Determination of Deformations and Stresses in a System Consisting of an Arbitrary Number of Thick-Walled Spheres Under an External Load
Working on issues of walking of anthropomorphic mechanisms, the author had to meet a problem of simulation of mobile articulations of kinematic links... -
Efficient Creation of 3D Organic Models from Sketches and ODE-Based Deformations
Efficient creation of 3D organic models is an important topic. In this paper, we propose a new approach to create rough 3D organic base models easily... -
Handwriting Classification of Byzantine Codices via Geometric Transformations Induced by Curvature Deformations
In the present paper, we propose a methodology of general applicability for matching, comparing and grou** planar shapes, under a unified... -
Data Augmentation via Partial Nonlinear Registration for Brain-Age Prediction
Data augmentation techniques that improve the classification and segmentation of natural scenes often do not transfer well to brain imaging data. The... -
Data augmentation based on shape space exploration for low-size datasets: application to 2D shape classification
This article introduces a novel 2D shape data augmentation approach based on intra-class shape space exploration. The proposed method relies on a...
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Geometry-aware 3D pose transfer using transformer autoencoder
3D pose transfer over unorganized point clouds is a challenging generation task, which transfers a source’s pose to a target shape and keeps the...
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A Method for Image Registration via Broken Geodesics
Anatomical variabilities seen in longitudinal data or inter-subject data is usually described by the underlying deformation, captured by non-rigid... -
An Unsupervised End-to-End Recursive Cascaded Parallel Network for Image Registration
Deformable image registration can align two images acquired at different times or under different conditions, and thus has important theoretical...
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Expression-Preserving Face Frontalization Improves Visually Assisted Speech Processing
Face frontalization consists of synthesizing a frontal view from a profile one. This paper proposes a frontalization method that preserves non-rigid...
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Improved Metric Space for Shape Correspondence
Shape correspondence is a fundamental task of finding a map among the elements of a pair of shapes. Particularly, non-rigid shapes add to the... -
Whole Heart Mesh Generation for Image-Based Computational Simulations by Learning Free-From Deformations
Image-based computer simulation of cardiac function can be used to probe the mechanisms of (patho)physiology, and guide diagnosis and personalized... -
Shell stand: Stable thin shell models for 3D fabrication
A thin shell model refers to a surface or structure, where the object’s thickness is considered negligible. In the context of 3D printing, thin shell...
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Towards Fine-Grained Optimal 3D Face Dense Registration: An Iterative Dividing and Diffusing Method
Dense vertex-to-vertex correspondence (i.e. registration) between 3D faces is a fundamental and challenging issue for 3D &2D face analysis. While the...