Dynamic spatiotemporal coupling denoise processing method for data catching of body motion

Abstract

The invention discloses a dynamic space-time coupling processing method for noise and missing data processing in the optical human motion capture data, comprising the establishment of a dynamic pulse noise model of the noise data and the missing data in the originally-gathered motion data based on a standby semantic chunk, which is characterized in that: the invention comprises the following steps of: generating the standby semantic chunk based on a matched rigid structure, establishing a human topology model based on semantic nodes, generating an optimal human body structure based on the spatial semantic constraint, establishing a pulse noise model based on the position of the semantic chunk and the dynamic time sequence based on the attitude attribute, filtering noise data and reconstructing missing data. The processing method of the inventive embodiment is applicable for processing the motion data which meet any feature point arrangement of the local rigidity structure with good practicability and robustness.

Description

technical field [0001] The invention relates to the technical field of human motion capture, in particular to a processing method for noise data and missing data in optical human motion capture data. Background technique [0002] In recent years, human motion data acquisition and reconstruction technology has gradually developed into an important means of data acquisition in the fields of virtual reality, computer vision, film and television animation production, etc. The emerging disciplines that permeate and intersect each other have expanded the field of computer applications, enriched the research content in the fields of computer animation and virtual reality, and have important theoretical value. At the same time, human motion data acquisition and reconstruction technology also has a wide range of practical application value, which can be applied to many industries such as industry, agriculture, transportation, culture, education, health and sports, especially in medic...

AI Technical Summary

Problems solved by technology

[0009] (1) Aiming at the noise data and missing data existing in the original collected motion data, a dynamic impulse noise model based on alternative semantic blocks is established;

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