Data-dependent physically-real restoration method of object deformation sequences

Abstract

The invention provides a data-dependent physically-real restoration method of object deformation sequences. According to the method, with a key model of sparse sampling on a time axis being used as input, a whole deformation sequence of the model can be quickly generated. The method includes: subjecting the key model to modal analysis, using an obtained mode as module base to reduce dimensionality of a kinetic equation which describes object deformation, and decomposing mutually-coupled equations into multiple equations mutually independent; converting a continuous deformation problem of solving time into a problem of solving a minimum of time integration, and acquiring an analytical expression according to the Euler-Lagrange theorem; finally, solving a linear equation set to obtain a complete deformation sequence. The mode and data dependence obtained in the modal analysis process allow deformation of an input model to be well described and also allows data dimensionality to be greatly reduced; the results include analytical expressions, allowing real-time interaction; the results meet the kinetic equation of object deformation and are of physical reality.

Description

technical field [0001] The invention relates to a method for restoring a data-related and physically meaningful object deformation sequence Background technique [0002] In recent years, with the continuous development of computer software and hardware technology, the original very expensive motion capture equipment has become more and more cheap (for example, Kinect), and the geometric model can be easily reconstructed from the captured point cloud. Therefore, it becomes easier and easier to obtain high-quality static models through capture and reconstruction. However, in practical applications, users often need to physically deform the obtained static model in real time and satisfy given constraints, but there are still many technical problems. [0003] First, the most common currently used are physics-based deformation methods, which achieve their goals by solving dynamic equations with constraints. However, in order to ensure numerical stability and convergence, this m...

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is: to overcome the deficiencies of the existing deformation sequence restoration methods based on physics and geometry, and to provide a data-related and physically meaningful object deformation sequence restoration method

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