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 problems such as increased workload, cumbersome work, prone to errors, etc., and achieve the effect of improving efficiency
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[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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