Method for calculating shape, deformation and covariance matrix of flexible body point distribution model based on interpolation algorithm

Abstract

The invention relates to a method for calculating shapes, deformation and covariance matrixes of flexible body point distribution models based on an interpolation algorithm, which comprises the steps of (1) loading flexible distribution models Ma and Mb of two adjacent times Ta and Tb, wherein Ma=(gamma a, phi a and lambada a), Mb=(gamma b, phi b and lambada b); (2) respectively calculating average shapes gamma a and gamma b, characteristic matrixes phi a and phi b and characteristic values lambada a and lambada b by the flexible body distribution models Ma and Mb to set the continuous variation of a flexible body from the Ta to the Tb; 2.1) calculating the average shape of a middle model; (2.2) calculating the deformation of the middle model; and (3) obtaining the middle model Mt of time t according to the average shape, the deformation and the covariance matrix of the middle model. The method can form middle transition models which are distributed in real time and has high model accuracy and good practicality.

Description

Technical field [0001] The invention relates to a flexible body distribution model, and a parameter calculation method of the flexible body distribution model combining computer image processing technology and modeling technology. Background technique [0002] Compared with the rigid body, the flexible body is more complicated to model and analyze in the computer. In real life, the flexible change of the object with time is very common. For many biomedical tissues, such as the human heart, hands, bones, kidneys, brain, cells, etc., these people can describe their external shape characteristics very well but it is difficult to give an accurate rigid model. Point Distribution Model (PDM) is a newly emerging technology, which can describe the research object very well, and can be successfully applied to the decomposition and synthesis of non-rigid models. In recent years, the statistical modeling of flexible bodies and the combination of image interpretation technology has given bi...

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Problems solved by technology

[0005] In order to overcome the deficiencies of existing flexible body point distribution models that cannot form real-time distribution models, poor model accuracy, and poor practicability, the present invention provides an intermediate transition model that can form real-time distribution, high model accuracy, and good practicability based on Establishment method of flexible body point distribution model based on time-varying interpolation algorithm

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