Direct method of three-dimensional motion detection and dense structure reconstruction based on variable optical flow

Abstract

The invention provides a direct method of three-dimensional motion detection and dense structure reconstruction based on a variable optical flow and relates to a video simulation technology of a three-dimensional motion object. The method is characterized by: (1) Deducing a three-dimensional motion basic conservation assumption; (2) Designing an energy function which can detect a three-dimensional moving speed of the object; (3) Using a variational method to deduce an iterative model which detects the three-dimensional moving speed, wherein the three-dimensional motion of the target object can be directly detected through a given image sequence according to the model; (4) Reconstructing a superficial dense structure according to a three-dimensional motion parameter of the target object. The method has the following steps that: the given image sequence can be directly used to detect the three-dimensional motion of the target object and the superficial dense structure can be reconstructed; an error influence of a intermediate process on a reconstruction result can be avoided; the three-dimensional dense structure of the target motion object surface can be recovered; detail information of the object surface can be observed conveniently; calculating precision is high and robustness is good.

Description

[0001] technical field [0002] The invention relates to a reconstruction technology of a three-dimensional moving object, in particular to a reconstruction technology of a three-dimensional moving object based on an optical flow method. Background technique [0003] The existing real world is three-dimensional. For a long time, due to the limitation of the development level of science and technology, most of the data we can obtain and effectively process and analyze are two-dimensional data, making the three-dimensional information of a large number of objects lost. With the development of computer technology, people's access to information has shifted from traditional two-dimensional plane images to three-dimensional images. 3D reconstruction techniques can be roughly divided into two categories: feature-based methods and optical flow-based methods. [0004] The feature-based 3D reconstruction technology has been well developed. For example, the 3D motion parameters of m...

AI Technical Summary

Problems solved by technology

However, because the feature-based method can only restore part of the characteristic three-dimensional structure of the moving object in the image, and loses a large amount of detailed information on the surface of the object, this makes the reconstruction result unable to meet the deeper requirements.

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