Outlier processing method for three-dimensional trajectory data and optical motion capturing method

Abstract

An outlier processing method for three-dimensional trajectory data and an optical motion capturing method are disclosed. The claimed outlier processing method includes an input step, a judgment step,a processing step, and an output step. The claimed optical motion capturing method includes links of obtaining a measurement point two-dimensional image, calculating three-dimensional trajectory data,and processing the three-dimensional trajectory data outlier. The outlier processing method of the three-dimensional trajectory data is provided, so that the optical motion capturing system can eliminate some undesired three-dimensional data in the three-dimensional trajectory data, thereby avoiding measurement errors caused by environmental changes, and helping to improve the positioning precision of a measurement object. Because using relatively simple judgment logic and data types, the processing method avoids the harsh judgment conditions and strict standardization of data types in the existing outlier processing methods, is helpful to simplify the outlier processing algorithm and improve the working efficiency of the optical motion capturing system.

Description

technical field [0001] The invention relates to motion capture technology, in particular to an outlier processing method of three-dimensional trajectory data and an optical motion capture method. Background technique [0002] Motion capture technology (Mocap, referred to as Mocap) refers to setting a tracker on the key part of a moving object, and the motion capture system captures the position of the tracker, and then obtains the data of three-dimensional space coordinates after computer processing. When the three-dimensional space coordinate data is recognized by the computer, it can be applied in animation production, gait analysis, biomechanics, ergonomics and other fields. Especially in the field of movie special effects, the real-life images captured by multiple cameras are replaced with digital models to capture and record the actions of the actors during performances, and then synchronize these actions to the virtual characters in the computer, so that the actions of...

AI Technical Summary

Problems solved by technology

[0005] In the process of optical motion capture, when the motion capture camera captures the image of the marker point, if the capture environment changes, it will affect the positioning accuracy of the three-dimensional space coordinates of the marker point

For example, when there is sudden strong light in the capture environment, other objects suddenly join, occlusion, etc., the calculated three-dimensional space coordinates of the marked points will have abnormal values. If these abnormal values ​​​​are not processed, it will eventually affect the motion. Object Positioning Accuracy

[0006] At present, when dealing with outliers in the three-dimensional trajectory data formed by the movement of marker points, the common method is linear difference. This method is simple and practical, and when there is a large amount of non-abnormal information loss; another method is Matrix dimensionality reduction, this method has specific requirements for the source of the processing points, requiring a large number of points in the moving object, and requiring the matrix composed of point clouds of the points to be non-full rank, resulting in relatively harsh application conditions ; There is also a dictionary learning method, which requires a standard database to be prepared before data processing, but this method has the problem of time-consuming algorithm processing

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