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

A technology for human motion and noise reduction processing, which is applied in the field of human motion capture to achieve good robustness and improve quality and efficiency.

Active Publication Date: 2008-07-09
DALIAN UNIV
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Problems solved by technology

[0009] (1) Aiming at the noise data and missing data existing in the original collected mot

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

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Embodiment Construction

[0031]As shown in Figure 1-Figure 11. A dynamic spatio-temporal coupling processing method for noise and missing data processing in optical human motion capture data, including the steps of raw data acquisition, raw data processing and human motion reconstruction, aiming at the noise existing in the raw collected motion data data and missing data, and establish a dynamic impulse noise model based on alternative semantic blocks, which is characterized in that it also includes the generation of alternative semantic blocks based on rigid structure matching, the establishment of human body topology model based on semantic nodes, and the most The generation of reasonable human body structure, the establishment of impulse noise model based on the dynamic time series of semantic block position and attitude attributes, and the steps of filtering out noisy data and reconstructing missing data. In the present invention, in order to establish the model of the topological structure of the...

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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...

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Application Information

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IPC IPC(8): G06T17/00
Inventor 魏小鹏张强肖伯祥
Owner DALIAN UNIV
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