Mark point identification initializing method based on principal components analysis (PCA) in motion capture system

A technology of marking point identification and initialization method, applied in the field of computer vision, can solve the problems of increased workload, prone to errors, cumbersome work, etc., and achieve the effect of improving efficiency

Inactive Publication Date: 2011-03-02
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

In this process, as the number of cameras used increases, the work becomes cumbersome and the workload increases, and errors are prone to occur, which leads to great limitations in the industrial application of this system

Method used

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  • Mark point identification initializing method based on principal components analysis (PCA) in motion capture system
  • Mark point identification initializing method based on principal components analysis (PCA) in motion capture system
  • Mark point identification initializing method based on principal components analysis (PCA) in motion capture system

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Embodiment Construction

[0016] The present invention comprises the following steps:

[0017] 1. The area of ​​the experimental environment is about 7m*7m, surrounded by a black curtain, 16 cameras are placed around the curtain, and ordinary white table tennis balls are pasted on the joints of the performers. There are a total of 23 marking points, see the attached figure 2 .

[0018] 2. Keep the performers standing in the center of the venue in the initial state, and adjust the angle of view of each camera to the required field of view. According to the principle of computer vision, it is guaranteed that at least two cameras can see all the markers at the same time.

[0019] 3. Perform binarization processing on the collected images. The binarization threshold is usually adjusted according to the actual situation. The threshold selected in this experiment is 120. Connected domain analysis is performed on the binarized images to obtain independent For the connected area, the k-means algorithm is us...

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Abstract

The invention discloses a mark point identification initializing method based on principal components analysis (PCA) in a motion capture system, which comprises the following steps: firstly, constructing a skeleton-like model which can describe a human skeleton structure; then synchronously acquiring corresponding image data by at least two cameras; carrying out binarization processing and cluster analysis on the acquired images from each view point to obtain mark points; computing the two main axes on which the mark points are distributed as the two coordinate axes of a new coordinate system; transforming the coordinates of the mark points into the new coordinate system; projecting the transformed mark points onto the two main axes to obtain a two-dimension point set sequence; under the constraint relation of the skeleton model, according to the coordinate sequence of the projection point set, acquiring the corresponding relation between the projection point set and articulation points to obtain the somatological skeleton information of each mark point; and taking the corresponding relation between the identified mark points and the articulations as an initial gesture of a tracking algorithm. The method can automatize much work of mark point initialization and improve the efficiency in an initial stage of the motion capture system.

Description

technical field [0001] The invention relates to the field of computer vision and image processing technology, in particular to a method for initializing mark point identification in a motion capture system. Background technique [0002] In the motion capture system based on marker points, manual marking is usually used in the initial stage to establish the corresponding relationship between each marker point and each joint of the human body. In this process, as the number of cameras used increases, the work becomes cumbersome and the workload increases, and errors are prone to occur, which leads to great limitations in the industrial application of this system. Contents of the invention [0003] In order to make up for the shortcomings of the existing technology with a large workload and low accuracy, the present invention uses a PCA (principal components analysis, principal component analysis)-based mark point identification initialization method to realize the marking T...

Claims

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Application Information

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IPC IPC(8): G06T7/20
Inventor 郑江滨谷二营李秀秀雷伍琴
Owner NORTHWESTERN POLYTECHNICAL UNIV
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