Intelligent Error Correction System for Ballet Basic Skills Based on Computer Vision Algorithm

With the development of computer vision information processing technology, the method of visual parameter recognition is used to establish an image analysis model for the acquisition of visual information of ballet basic skill error movements.Distributed preprocessing of image features is carried out on the collected images of ballet basic skill error movements.The traditional multi-scale decomposition is improved, and the multi-dimensional wavelet scale decomposition method is applied to decompose the image at the pixel level.Then extract the threedimensional feature quantity of the ballet basic skill error movement, and according to the three-dimensional contour feature decomposition method, realize the three-dimensional modeling detection of the ballet basic skill error movement, and guide the ballet basic skill training.Equipped with the LAMP network architecture, design the ballet basic skill error movement correction system, and draw the overall functional modules of the system.Analyzing the use of the ballet basic skill intelligent error correction system, after the intelligent error correction system is put into use, the ballet college students' sports overall injury risk is reduced, and the movement flexibility and stability are improved.