Research on Automatic Dance Arrangement Method Based on Augmented Reality Technology

摘要

In order to improve the accuracy of augmented reality for automatic choreography, it is necessary to perform automatic choreography and augmented reality processing. This paper proposes an automatic choreography motion feature detection technology based on augmented reality image feature detection, which combines multi-resolution image recognition and detection methods to perform automatic choreography augmented reality computer vision image feature analysis and dance key motion feature point detection processing, and track tracking method based on morphology. According to the detailed feature collection results of dance automatic choreography augmented reality computer vision images, the region segmentation of dance automatic choreography augmented reality is carried out by adopting three-dimensional recombination method of key motion feature points data of computer vision dance, the feature analysis of dance automatic choreography augmented reality is carried out by combining fuzzy image dance key motion feature points detection technology, the fringe pattern analysis of computer vision is carried out by adopting edge contour feature detection method, the error correction and compensation processing of dance motion feature detection are carried out according to light resolution characteristics, and the motion feature detection of dance automatic choreography is realized by combining shape feature distribution. The simulation results show that this method has better resolution of atlas and higher accuracy of parameter estimation of key dance action feature points, which effectively realizes the action correction of automatic dance arrangement and improves the accuracy of automatic dance arrangement.