Open3D point cloud data processing (19): least squares straight line fitting (matrix equation method)


Column directory: Open3D point cloud data processing (Python)


1 Principle of Least Squares Line Fitting (Matrix Equation Angle)

Least squares line fitting is a commonly used data fitting method. Its goal is to find a line that minimizes the sum of squared errors between the line and the sample data. From the perspective of matrix equations, least squares line fitting can be regarded as the problem of solving an overdetermined linear equation system.

Specifically, we assume that there are nn

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Origin blog.csdn.net/weixin_46098577/article/details/132092824