Accurate rigid body registration method based on fusion of point set data and feature information

Abstract

The invention discloses an accurate rigid body registration method based on fusion of point set data and feature information, which comprises the following steps: for a known template point set and ato-be-registered target point set, carrying out dimensionality reduction on the data by utilizing a principal component analysis method and extracting relatively stable feature information; then, establishing a point set registration model based on fusion of the original point set and the feature information; aiming at the model, establishing a corresponding relation of corresponding points between a target point set and a template point set, solving a transformation parameter of space registration by utilizing the point-to-point corresponding relation between the template point set and the target point set, and carrying out space transformation on the target point set; and iterating the previous step until the mean square error between the corresponding point pairs of the target point setand the template point set is smaller than a given threshold value or reaches the maximum number of iterations, and finally completing registration of the target point set and the template point set.The method has higher accuracy and better robustness for data with more noise points and abnormal values, and can be applied to medical image registration and scene reconstruction and positioning.

Description

【Technical field】 [0001] The invention belongs to the technical field of computer vision and image processing, and relates to an accurate rigid body registration method based on fusion of point set data and feature information. 【Background technique】 [0002] In recent years, with the rapid development of medical imaging technology, more and more advanced equipment is used in clinical practice. However, due to differences in equipment and image shooting time, it is impossible to intuitively observe the changes before and after surgery. Therefore, applying registration technology to medical image analysis is conducive to the implementation of precision medicine. Point set registration is a hot issue in the research fields of digital image processing, pattern recognition, computer vision, etc. It can transform images from different sources or at different times through a series of spatial transformations to make their corresponding points consistent in space. [0003] In the ...

AI Technical Summary

Problems solved by technology

However, in actual medical datasets and scene datasets, there are many noise points and outliers in the data.

For data with noise points and outliers, the above method is used for registration, and the registration effect is not very ideal

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