Design of A Shared Platform for Interactive Public Art from Perspective of Dynamic Vision

In order to improve the interaction and sharing of interactive public art, a design scheme of interactive public art sharing platform is proposed based on dynamic visual perspective. The interactive public art dynamic visual image acquisition model is constructed, the multi-dimensional feature extraction method is used to realize the optimal recognition of interactive public art visual image, and the cascade filtering method is used to reduce the noise of the public art dynamic visual image. The filter can output the minimum energy under the condition of satisfying the constraint. The public art dynamic visual image will be processed by block segmentation, and the feature detection model of the public art visual image will be constructed, and the basic edge feature segmentation theory will be established. The contour curve segmentation constraint equation of interactive public art dynamic visual image is obtained, and the spatial information, visual information and structure information feature of interactive public art dynamic visual image are extracted. The interactive public art dynamic visual image feature recognition is realized. The software design of the interactive public art sharing platform is carried out in the embedded environment, and the interface design and database loading of the interactive public art sharing platform are carried out in the embedded Open Core kernel. The simulation results show that the public art sharing platform has better visual expression ability, better man-machine interaction, and public art sharing level and interaction level are improved.