Surface Fitting Toolbox
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Resource Overview
Detailed Documentation
This is a surface fitting toolbox developed using MATLAB. It enables rapid and accurate fitting of various spatial surfaces including planes, spheres, cylinders, and polynomial surfaces. The toolbox is based on least squares methodology and employs polynomial fitting algorithms, allowing flexible parameter configuration according to different datasets and requirements. The implementation utilizes key MATLAB functions such as fit() for curve fitting and polyfitn() for multivariate polynomial fitting, with automated degree optimization based on error metrics.
Additionally, the toolbox supports visual display of fitting results through MATLAB's plotting functions (surf, mesh, scatter3), enabling users to evaluate and optimize fitting effectiveness through interactive visualization. The code structure includes modular functions for data preprocessing, model selection, and residual analysis, providing a comprehensive workflow for surface approximation tasks.
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