Curved surface reconstruction method, object appearance detection method and application method

Abstract

The invention discloses a curved surface reconstruction method. The method comprises the following steps: collecting a data point column and a corresponding normal vector on a given curve surface; constructing an initial curve surface; calculating a residual vector; giving a weight to each point, calculating a minimum step length and updating parameters; generating a new conjugate vector parameter and obtaining a new conjugate vector; generating a new curve surface; and repeating the steps until a set condition is met to obtain a finally reconstructed curved surface. The invention also discloses an object appearance detection method comprising the curved surface reconstruction method, and an application method of the curved surface reconstruction method. According to the curved surface reconstruction method, the object appearance detection method and the application method provided by the invention, the implicit geometric iteration method taking the quasi-interpolation result as the initial value and based on the local support radial basis function is constructed for point cloud reconstruction, the reconstruction effect is better, and the method is simple and easy to implement, high in reliability, good in accuracy and high in precision.

Description

technical field [0001] The invention belongs to the technical field of scanning, and in particular relates to a curved surface reconstruction method, an object appearance detection method and an application method. Background technique [0002] In recent years, with the widespread use of 3D scanning technology, surface reconstruction using sampling points has become more and more important. Therefore, many researchers have studied and proposed many reconstruction techniques, which are widely used in the fields of robotics, computer-aided design and manufacturing. Because the radial basis function has the characteristics of simple calculation and the ability to deal with non-uniform sampling points, it is favored by researchers. The reconstruction method based on radial basis function has become one of the mainstream methods at present. [0003] The key step in reconstructing a surface using a method based on radial basis functions is to solve a linear equation system, and ...

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Problems solved by technology

However, the quasi-interpolation method is an approximation method, which will smooth out the detailed features, resulting in a large reconstruction error, especially in areas where sampling points are sparse, such reconstruction errors will be magnified

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