Three-dimensional narrow volume reconstruction method with unconditional stability based on a phase-field Lagrange multiplier approach
Renjun Gao, Xiangjie Kong, Dongting Cai, Boyi Fu, Junxiang Yang

TL;DR
This paper introduces a stable, efficient 3D reconstruction algorithm using a phase-field model with a Lagrange multiplier, suitable for complex shapes and validated through numerical experiments.
Contribution
The paper develops a novel, unconditionally stable 3D reconstruction method based on an Allen--Cahn-type model with a Lagrange multiplier, enhancing stability and accuracy.
Findings
Demonstrates unconditional stability of the scheme
Successfully reconstructs complex 3D objects
Provides open-source code and data for reproducibility
Abstract
Reconstruction of an object from points cloud is essential in prosthetics, medical imaging, computer vision, etc. We present an effective algorithm for an Allen--Cahn-type model of reconstruction, employing the Lagrange multiplier approach. Utilizing scattered data points from an object, we reconstruct a narrow shell by solving the governing equation enhanced with an edge detection function derived from the unsigned distance function. The specifically designed edge detection function ensures the energy stability. By reformulating the governing equation through the Lagrange multiplier technique and implementing a Crank--Nicolson time discretization, we can update the solutions in a stable and decoupled manner. The spatial operations are approximated using the finite difference method, and we analytically demonstrate the unconditional stability of the fully discrete scheme. Comprehensive…
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Taxonomy
TopicsSolidification and crystal growth phenomena · Numerical methods in inverse problems · Advanced X-ray Imaging Techniques
